Leadership competency inventory: A systematic process of developing and validating a leadership competency scale

This article reports psychometric evaluation of the Penn State Leadership Competency Inventory (LCI). The 32‐item LCI was validated on a sample of 323 managers in the health care industry. Preliminary validity and reliability evidence of the LCI was established through exploratory factor analysis (EFA), item‐total correlations, Cronbach's alpha coefficients, and confirmatory factor analysis (CFA). The four‐factor leadership competency scale, comprising supervisory and managerial competencies, organizational leadership, personal mastery, and resource leadership, accounted for 58% of variance. According to CFA results, the model fit of the four latent factors of the LCI was confirmed to be appropriate. Cross‐validation with other populations is needed to confirm the factor structure. Limitations and further research recommendations are discussed.     

中韩新能源产业合作的经济效应实证研究

本文主要探讨中韩新能源领域的合作,尤其是对两国新能源领域中合作的经济效应进行评估。为了评价合作的经济效应,本文建立新能源合作的相对收益指数,并利用向量自回归模型(VAR)探寻能源合作指数(ECI)和贸易、GDP之间的关系,从而论证中韩新能源产业合作的重要性。     

Financing preferences: evidence from the Korean market

We investigate the financing decisions of Korean firms during the period of 1996–2015. Korean firms follow a matching strategy for funding their cash needs. Cash inflows from investing activities are the primary source of funding for capital expenditures, and cash inflows from financing activities are the major means of covering cash outflows from financing activities. We also find that Korean firms’ financing practice of handling cash deficits can be described by the pecking order model modified and augmented by cash flow variables. Cash inflows from investing activities account for the major portion of financing to make up for cash deficits, followed by short- and long-term debt, and then equity financing.     

Parametric links for binary choice models: A Fisherian–Bayesian colloquy

The familiar logit and probit models provide convenient settings for many binary response applications, but a larger class of link functions may be occasionally desirable. Two parametric families of link functions are investigated: the Gosset link based on the Student t latent variable model with the degrees of freedom parameter controlling the tail behavior, and the Pregibon link based on the (generalized) Tukey λ family, with two shape parameters controlling skewness and tail behavior. Both Bayesian and maximum likelihood methods for estimation and inference are explored, compared and contrasted. In applications, like the propensity score matching problem discussed below, where it is critical to have accurate estimates of the conditional probabilities, we find that misspecification of the link function can create serious bias. Bayesian point estimation via MCMC performs quite competitively with MLE methods; however nominal coverage of Bayes credible regions is somewhat more problematic.     

Interdependence in the technology adoption decision among municipalities

This study examines the interdependence among municipalities in the discrete decision to adopt internet technology. Results from probit specifications with interaction effects suggest that cities are influenced by nearby neighbours with similar population size in developing a website. Evidence is also presented indicating interaction among municipalities in the decision to use internet technology to facilitate financial transactions.     

Structuring technological information for technology roadmapping: data mining approach

Most research on technology roadmapping has focused on its practical applications and the development of methods to enhance its operational process. Thus, despite a demand for well-supported, systematic information, little attention has been paid to how/which information can be utilised in technology roadmapping. Therefore, this paper aims at proposing a methodology to structure technological information in order to facilitate the process. To this end, eight methods are suggested to provide useful information for technology roadmapping: summary, information extraction, clustering, mapping, navigation, linking, indicators and comparison. This research identifies the characteristics of significant data that can potentially be used in roadmapping, and presents an approach to extracting important information from such raw data through various data mining techniques including text mining, multi-dimensional scaling and K-means clustering. In addition, this paper explains how this approach can be applied in each step of roadmapping. The proposed approach is applied to develop a roadmap of radio-frequency identification (RFID) technology to illustrate the process practically.     

Strategic visualisation tools for managing technological information

In an information economy, the effective management of a massive amount of technological information is inevitable when attempting to facilitate the decision-making process. It is an important part of selecting R&D projects and allocating budgets to promising technology development. Information visualisation is thus regarded as a critical tool in technological information management because it can provide decisive implications that the intelligence of humans cannot produce. This paper proposes six graphical forms, including a technology tree, a technology map, a technology network, a technology matrix, a technology curve, and a technology dictionary, presenting the generic form and concept of each method. Moreover, the principles and applications of such visualisation tools are suggested in order to enhance their use in practical circumstances. A case study of TFT-LCD (thin film transistor-liquid crystal display) technology will help to explain how to apply visualisation tools to strategic technology management.     

Unsolicited Versus Solicited: Credit Ratings and Bond Yields

This paper is the first attempt to analyze Standard & Poor’s unsolicited and solicited ratings by using bond-yield data in Japan. Our findings show that there are differences in firm characteristics between firms seeking solicited ratings and those that receive unsolicited ratings. Firms with solicited ratings have less information asymmetry and are more likely to be owned by foreign investors, generate more revenue from exports, be cross-listed in the US, and have higher firm quality. But, firms with unsolicited ratings pay higher costs for debt, and their bond prices react more strongly to credit-rating changes. Yield spreads for new bonds with unsolicited ratings are higher than those with solicited ratings, because unsolicited ratings have higher information asymmetry, and investors therefore demand higher yields. We find that bond-price reactions to the announcements of unsolicited rating downgrades (upgrades) are negative (positive) and significant, while bond prices do not react significantly to solicited rating downgrades or upgrades.     

Assessing the Efficiency of Risk Mitigation Strategies in Supply Chains

Mitigating supply chain risk is a critical component of a company's overall risk management strategy. Drawing upon Contingency Theory, we posit that the appropriateness and effectiveness of risk mitigation strategies are contingent on the internal and external environments and that there is no one‐size‐fits‐all strategy. While literature on risk management has proposed a variety of tools and techniques for effectively evaluating and managing supply chain risks, comprehensive assessment of the efficiencies of alternative risk mitigation strategies has not been addressed in the literature. Such an assessment will help managers select the appropriate mitigation strategy for a given decision‐making environment. To this end, this study is first of its kind in evaluating and proposing efficient supply chain risk mitigation strategies in the presence of a variety of risk categories, risk sources, and supply chain configurations. We combine an empirically grounded simulation methodology with data envelopment analysis and nonparametric statistical methods to analyze and rank alternative mitigation strategies. We find that the more efficient strategies focus on flexibility rather than on redundancy for supply chain failures. Our research presents several interesting and useful managerial insights for deciding what strategies are most capable of mitigating risks in a variety of contexts.     

Human Resource Management Practices and Trust in Public Organizations

Abstract

Trust has been acknowledged as a valuable managerial resource within organizations. Working as a lubricant of organizational functioning, trust reduces opportunistic behaviours while it increases voluntary compliance to organizational norms and rules as well as enhancing individual and organizational performance. Considering the importance of trust, it is worthwhile to explore what factors may help build trust within organizations. This research investigates whether perceptions of several human resource management (HRM) practices are associated with trust in government organizations. According to social exchange theory, HRM practices signal management's commitment to employees which in turn leads to greater trust in the organization. Using data from an employee survey conducted for the Georgia Department of Transportation in 2007, this research tests how employee perceptions of HRM practices are related to trust in three distinct levels of management in a large department of state government: trust in department leadership, trust in one's leadership team, and trust in one's supervisor. Binary logit analyses suggest that perceptions of HRM practices focusing on autonomy, compensation, communication, performance appraisal, and career development are associated with trust in public organizations. According to the result, those practices present variation in their leverage on trust in leadership at different levels.