Defining and developing competence: A strategic process paradigm

In this paper, competence is defined in operational terms as the degree to which the firm or its subunits can reliably meet or exceed objectives. Two antecedents to competence (and thus competitive advantage) are then developed and defined. These are the ‘comprehension’ of the management team working on developing competence and the ‘deftness’ of their task execution. Empirical results from a study of 160 new initiatives in 40 organizations from 16 countries suggest that: (1) it is feasible to operationalize and measure these constructs; (2) comprehension and deftness are important correlates of an organization's degree of competence as defined; and (3) a process-centered paradigm for understanding competence development shows promise.     

Strategic diagnostics and management decision making: a hybrid knowledge‐based approach

A conceptual model is introduced whereby the focus is placed on environmental scanning, diagnostics and decision‐making on the basis of managerial judgement through the application of tools such as intelligent agents, hybrid intelligent systems, scenario analysis and knowledge‐based systems. The model has a critical stage as an antecedent to the strategic advice that encompasses the issues of strategic fit to purpose (theme, industry, company and strategic business unit‐driven). A number of applications dealing with these four layers are shown, as well as an illustration of hybrid intelligent systems for strategic marketing planning. Copyright © 2007 John Wiley & Sons, Ltd.     

银行业面临的风险与六西格玛的运用

一、引言 随着日益良好的全球经济环境的形成,以及所采取的增强香港与内地间经济关系的措施,香港银行业已经从"9·11"以来的困难时期复苏过来.     

Millennials’ travel motivations and desired activities within destinations: A comparative study of the US and the UK

Millennials are one of the largest groups to be targeted by tourism companies. This paper compares the travel motivations of Millennials from both the United States and the United Kingdom by ratings, rankings and perceptual structures of both push and pull factors. This exploratory study used a questionnaire to examine the inner motivations (e.g. push factors) and preferred destination activities (e.g. pull factors) of American and British Millennials (n?=?322). Data analysis included the non-parametric Mann–Whitney U test, Kendall’s coefficient of concordance, an alternating least-squares algorithm (ALSCAL) model and ordinal regression. The results reveal that American and British Millennials are quite homogeneous in their push travel motivations and destination activity preferences. The most important motivational factors for both are ‘to relax’ and ‘to escape from the ordinary’. Both nationalities also agree that the most attractive destination activities are ‘to try local food’ and ‘to go sightseeing’. The findings indicate that the US and UK samples are similar and that there is room for segmentation according to demographics.     

Creativity and Innovation as Strategic Resources in International Business Markets

This study focuses on Medium-Sized Multinationals （MSMs） that belong to the sectors of mechanics and electronics, and that operate in dynamic international business markets. This work aims to investigate how international marketing strategies are based and maybe in some cases actually heavily dependent on the capacity to form and enhance skills in design, engineering, and production activities, and on the propensity to invest more resources in research and development （R＆D） activities as well as in activities that are more strictly speaking production based （manufacturing）. Undoubtedly, in a global and dynamic business, creative knowledge is one of the key resources that firms must possess in order to take up international strategies successfully. Creativity and innovation are strategic resources for all firms, including those of a medium size and even more for those that belong to the so-called ＂traditional sectors＂. This study also has the objective of examining the influence of the structure and composition of a technological MSMs international alliance portfolio in order to understand which forms of international collaboration are more opportunities for firms that aspire to increasing their know-how and taking up new and more sophisticated forms of exploratory innovation. The present work highlights the results of an empirical research that were carried out during the years 2000-2009. The research involved more than 80 firms of the mechanical and electronics department in the Marche region in Italy.     

Do social networking sites contribute for building brands? Evaluating the impact of users' participation on brand awareness and brand attitude

Social networking sites (SNSs) have attracted increasing attention from brands, which look at the platform as a privileged communication channel to reach their audiences. Despite their growing adoption, few research efforts have been devoted to evaluate SNSs' concrete implications for the brands. The current study addresses this opportunity, proposing a model that evaluates the impact of users' participation in SNSs on brand awareness and brand attitude, the two main pillars of brand knowledge. The study focuses on brand like pages in Facebook, the most used SNSs platform for brands. An online quantitative survey with brand like page users of leading brands in Facebook was implemented. Confirmatory factor analysis was used to estimate the measurement model and structural equation modelling was used to test the proposed research hypotheses. The results identify a significant, positive and direct impact of users' participation on brand awareness. Brand attitude also substantially benefits from users' participation, but this relationship is mediated by brand awareness. The findings help to validate SNSs' significant role on building brand knowledge and to position users' participation at the core of brands' SNSs objectives. Furthermore, the study provides a practical research framework, easily adapted for monitoring purposes and managerial guidance. Future research directions are discussed.     

An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimization

The design and management of a multi-stage production–distribution system is one of the most critical problems in logistics and in facility management. Companies need to be able to evaluate and design different configurations for their logistic networks as quickly as possible. This means coordinating the entire supply chain effectively in order to minimize costs and simultaneously optimize facilities location, the allocation of customer demand to production/distribution centers, the inbound and outbound transportation activities, the product flows between production and/or warehousing facilities, the reverse logistics activities, etc.Full optimization of supply chain is achieved by integrating strategic, tactical, and operational decision-making in terms of the design, management, and control of activities. The cost-based and mixed-integer programming model presented in this study has been developed to support management in making the following decisions: the number of facilities (e.g. warehousing systems, distribution centers), the choice of their locations and the assignment of customer demand to them, and also incorporate tactical decisions regarding inventory control, production rates, and service-level determination in a stochastic environment. This paper presents an original model for the dynamic location–allocation problem with control of customer service level and safety stock optimization. An experimental analysis identifies the most critical factors affecting the logistics cost, and to finish, an industrial application is illustrated demonstrating the effectiveness of the proposed optimization approach.     

Fair Valuation of a Guaranteed Life Insurance Participating Contract Embedding a Surrender Option

In this article we deal with the problem of pricing a guaranteed life insurance participating policy, sold in the Italian market, which embeds a surrender option. This feature is an American‐style put option that enables the policyholder to sell back the contract to the insurer at the cash surrender value. Employing a recursive binomial formula patterned after the Cox, Ross, and Rubinstein (1979) discrete option pricing model we compute, first of all, the total price of the contract, which also includes a compensation for the participation feature (“participation option,” henceforth). Then this price is split into the value of three components: the basic contract, the participation option, and the surrender option. The numerical implementation of the model allows us to catch some comparative statics properties and to tackle the problem of suitably fixing the contractual parameters in order to obtain the premium computed by insurance companies according to standard actuarial practice.