Showing 1–12 of 33 results
A research study on the relationship between personal career development management and willingness to relocate
The business-operating environment nowadays is in a severe changing situation and, as a result, triggers an increasingly fierce competition in the development of offshore business and bases. This makes selection of suitable expatriate personnel more and more important for companies. Taking graduates who are about to start their career in the society as subjects, this study focuses on the effect of personal career development management on the willingness to relocate in the future. Data are analyzed using Pearson correlation, multiple regression and structural equation modeling. The result shows that the career development management of the students graduating from a management college of a university has a significant effect on their willingness to relocate and can be well predicted. This study puts forward practical and academic suggestions based on this result.
Auditor reputation and earnings management: International evidence from the banking industry
We examine the relatرایگان!
We examine the relation between auditor reputation and earnings management in banks using a sample of banks from 29 countries. In particular, we examine the implications of two aspects of auditor reputation, auditor type and auditor industry specialization, for earnings management in banks. We find that both auditor type and auditor industry specialization moderate benchmark-beating (loss-avoidance and just- meeting-or-beating prior year’s earnings) behavior in banks. In addition, we find that once auditor type and auditor industry specialization are included in the same tests, only auditor industry specialization has a significant impact on constraining benchmark-beating behavior. In separate tests related to income- increasing abnormal loan loss provisions, we find that both auditor type and auditor expertise constrain income-increasing earnings management. Again, in joint tests, only auditor industry expertise has a significant impact on constraining income-increasing earnings management.
Competitiveness, Entrepreneurship and Economic Growth
In this chapter we eرایگان!
In this chapter we explored country competitiveness and entrepreneurship as drivers of economic growth. The research was carried out on a sample of Central and Eastern European (CEE) member states of the European Union (EU). The analysis shows that economic growth as measured by GDP per capita growth rates, and global competitiveness of a country as measured by the World Economic Forum’s (WEF) Global Competitiveness Index scores’ growth rates, are positively related to each other. The comparative analysis also reveals that efficiency-driven and certain transition CEE EU Member States have made the highest progress at various competitiveness pillars, which is reflected in their economic growth. The opposite has been found for two innovation-driven CEE EU Member States. When testing the hypothesis on the relationship between the average growth of quality of early-stage entrepreneurship indices and average growth of GDP per capita, no significant relationship was found. This finding is in accordance with the general thesis that entrepreneurial activity supports economic growth only as part of a favourable broader business environment. The research results constitute a preliminary analytical framework for policymakers and managers in the analysed countries.
Corporate Informatics and Strategic Management
Paper provides inforرایگان!
Paper provides information about the most important international standards regarding corporate informatics and strategic management, i.e. ISO/IEC 38500, ISO 20000, IT Governance. Paper provides the most important information about these standards and try to make a link among them and map it to the management levels in the company. The final result of this paper is a new visualization of links among standards and finding, that the international standard ISO/IEC for IT Governance represents an effective tool of corporate informatics management on the strategic level. To make it usable for corporate informatics management as a whole, it is useful to integrate its processes with those of tactical and operational management.
Country Risk Ratings and Stock Market Movements: Evidence from Emerging Economy
The empirically relaرایگان!
The empirically relationship between Saudi Arabia’s country risk ratings; political, economic, and financial components and its stock market movements is examine from both short and long-run perspectives in this paper. The Autoregressive Distributed Lag (ARDL) methodology is the main instrument of investigation to explore their interdependencies. We find that the country credit risk ratings have a close association with the Saudi Arabia stock market movements. The financial risk factor displays the highest level of sensitivity among all the credit risk ratings. It is sensitive to both economic risk rating and the stock market returns. This development implies that financial risk indicators such as foreign debt servicing, current account balance and exchange rate stability among others should be considered before any strategic investment decision in the country. There is reduced or insignificant political risk sensitivity to other variables. This shows that political risk rating issues are relatively the least considered in Saudi Arabia as shown in this study.
Design and development of logistics workflow systems for demand management with RFID
This paper discussesرایگان!
This paper discusses demand and supply chain management and examines how artificial intelligence techniques and RFID technology can enhance the responsiveness of the logistics workflow. This proposed system is expected to have a significant impact on the performance of logistics networks by virtue of its capabilities to adapt unexpected supply and demand changes in the volatile marketplace with the unique feature of responsiveness with the advanced technology, Radio Frequency Identification (RFID). Recent studies have found that RFID and artificial intelligence techniques drive the development of total solution in logistics industry. Apart from tracking the movement of the goods, RFID is able to play an important role to reflect the inventory level of various distribution areas. In today’s globalized industrial environment, the physical logistics operations and the associated flow of information are the essential elements for companies to realize an efficient logistics workflow scenario. Basically, a flexible logistics workflow, which is characterized by its fast responsiveness in dealing with customer requirements through the integration of various value chain activities, is fundamental to leverage business performance of enterprises. The significance of this research is the demonstration of the synergy of using a combination of advanced technologies to form an integrated system that helps achieve lean and agile logistics workflow .
Developing new products with knowledge management methods and process development management in a network
When managing the prرایگان!
When managing the problem of new product development (NPD), a firm needs to cooperate with or compete with its strategic partners in a network to survive in the industry. This paper first discusses the critical success factors (CSF) of NPD in a network, and then simplifies 37 CSFs into 10 items within 3 groups by factor analysis and Delphi method. While analytic hierarchy process (AHP) is capable of dealing with the NPD managerial problems by generalizing subjective judgment of experts, it cannot deal with the inter- relationship among factors or the usually imprecise and vague human judgment. To compensate this deficiency, analytic network process (ANP) incorporated with sensitivity analysis, instead of the popular fuzzy AHP model, is proposed, and a firm can make a decisive evaluation by applying the model. However, developing new products with strategic partners in a network is positively associated with efficiency and effectiveness and negatively with innovation. In order to lead a firm to operate efficiently, effectively and innovatively, the product lifecycle management (PLM) including suitable knowledge management (KM) and process development management is advised for the execution of the selected NPD mix. Balanced scorecard (BSC) using ANP with sensitivity analysis is then suggested to demonstrate the effectiveness of the proposed procedure and models.
Management Forecasts, Idiosyncratic Risk, and the Information Environment
Management forecasts are an important source of information for the Japanese stock market. In this paper, we use management forecast error as a proxy for disclosure quality to investigate the relationship between disclosure quality and idiosyncratic risk. We find that management forecast error is positively related to idiosyncratic risk, suggesting that high-quality public information reduces idiosyncratic risk. Furthermore, we present evidence that management forecast error is less positively related to idiosyncratic risk in relatively good information
Mediator analysis in the management of innovation in Indian knowledge workers: the role of perceived supervisor support, psychological contract, reward and recognition and turnover intention
While examining theرایگان!
While examining the field of innovation, a research gap was found concerning the need to examine the contextual factors affecting management of innovation and turnover intention (TI) in knowledge workers. Investigating a sample of Indian knowledge workers (n ¼ 312) and applying multilevel modelling (MLM) using structural equation modelling, the current study found that the psychological contract and rewards and recognition were strong mediators between perceived supervisor support, innovation and TI. A better fit model emerged when examining four competing models using MLM. This research examines the theoretical and practical implications of the results.
Modelling and evaluating customer loyalty using neural networks: Evidence from startup insurance companies
The purpose of thisرایگان!
The purpose of this study is to investigate the customer–service provider relationship in the insurance industry using artificial neural networks and linear regression. Using a sample of 389 customers from 10 different startup insurance companies, it was found that artificial neural networks are an efficient way to evaluate the factors affecting customer loyalty. The results indicated that customer satisfaction and perceived value are significant predictors of customer loyalty. Additionally, it was found that trust, perceived quality, and empathy have a significant impact on both customer satisfaction and perceived value. The results also showed that customer commitment to service provider is positively associated with customer satisfaction and loyalty. After comparing the performance of linear regression models with artificial neural networks, it was found that the use of neural networks is a better approach for analyzing the customer loyalty, satisfaction, and perceived value. The use of new techniques such as artificial neural networks for analyzing the customer behavior can be particularly beneficial for startup companies who aspire to gain competitive advantage over their strong and well-established rivals.
Quality management benefits through the “soft” and “hard” aspect of TQM in food companies
Purpose – The purposرایگان!
Purpose – The purpose of the paper is to examine the binary character of total quality management (TQM) in food companies and to determine the impact of the two aspects of TQM – the “soft” and “hard” – on the quality management benefits. Design/methodology/approach – A research project was carried out in 90 Greek food companies, using the questionnaire method. Two measurement models have been formulated. The first model includes the TQM philosophical elements and quality tools/techniques, while the second model includes the quality management benefits. Exploratory factor analyses are applied to extract the latent factors. The factors that significantly influence the quality management benefits are determined through multiple linear regression analyses. Findings – The analysis of the models confirms the binary character of TQM (the “soft” and “hard” TQM elements) in food companies and the existence of internal and external quality management benefits. The “soft” TQM elements have a significant direct impact on quality improvement, employee benefits and customer satisfaction. However, the impact of the “hard” TQM elements on the above quality management benefits is not direct but indirect, through their significant correlation with the “soft” TQM elements. Finally, quality improvement is also a significant factor that directly influences employee benefits, customer satisfaction and business performance. Research limitations/implications – The small size of the sample of the responding food companies, the diversity of these companies and the subjective character of the data collected are limitations that suggest future research recommendations. Practical implications – Food companies should realize the leading role of the “soft” aspect of TQM and the supporting role of the “hard” aspect in maximizing the quality management benefits and as a consequence in withstanding the current economic downturn.
Reinvestigating the relationship between ownership structure and inventory management: A corporate governance perspective
It is hypothesized iرایگان!
It is hypothesized in this study that the relationship between institutional ownership and inventory management is more likely to be moderated by other internal corporate governance mechanisms (i.e., managerial ownership, board leadership structure and board size). This is more likely to happen as one weak governance mechanism in one area will be offset by a strong one in another area. Furthermore, the effectiveness of one corporate governance mechanism (i.e., institutional ownership) is more likely to be contingent on some contextual variables. Econometric analysis, using a sample of Egyptian listed firms, provides strong evidence for the applicability of this theme and demonstrates that institutional ownership affects inventory management positively (negatively) when managerial ownership is high (low), CEO duality (non-duality) is in place, or board size is large (small). This conclusion is robust to the use of different control variables and econometric models.