The purpose of APQC's Current State of Learning and Development survey was to understand how organizations are approaching learning and development (L&D) today.
Abstract
Purpose
The purpose of APQC's Current State of Learning and Development survey was to understand how organizations are approaching learning and development (L&D) today.
Design/methodology/approach
In total, 300 L&D function leaders responded to the survey. Respondents represent organizations from across the globe and across industries, and of varied sizes in terms of revenue and headcount. The survey asked about attributes that APQC hypothesized would be associated with L&D function effectiveness given current business challenges.
Findings
Analysis of the survey results revealed that the most effective L&D functions, based on these attributes, set themselves apart with their learning cultures, knowledge management practices, use of learning technology and measurement of learning. Further analysis confirmed the hypothesis, showing these approaches are associated with positive learning outcomes such as shorter time to productivity for new hires, improvements in employee performance ratings and more internal transfers/hires.
Originality/value
The survey findings provide insight into four enablers of L&D function effectiveness today. L&D professionals can use these approaches to more effectively meet the latest learning needs within their organizations.
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Surinder Tandon and Mitsuo Matsudaira
A garment is regarded as desirable and beautiful if it covers the body with harmony and gracefulness. High drape, lightweight and soft handle fabrics are in demand, particularly…
Abstract
A garment is regarded as desirable and beautiful if it covers the body with harmony and gracefulness. High drape, lightweight and soft handle fabrics are in demand, particularly for womenswear garments such as dresses, shirts, skirts, trousers and suits. Fabric drapability can be measured by a number of drapemeters for different modes of drapability such as static, dynamic and revolving. It has been shown that the drape coefficients, Ds, Dd and Dr, associated with these respective modes of drapability can be predicted from a combination of measurements from the KES-F system (Kawabata Evaluation System for Fabrics).
In this paper we present the results of our studies on the prediction of drapability of lightweight wool fabrics, based on the KES-F system and drape coefficient predictive equations. It has been shown that the parameters Dr/Ds and Dd/Ds, called Indices of Drape Fluidity, Ir and Id, express the fluid drape behaviour better than Ds, Dr, D200 and Dd. This is because they discriminate and predict the drapability of fabrics better. Ir and Idhave higher CV% than the Dr and Dd data, and therefore represent greater relative dispersion in a fabric group for drape. Various drape parameters of a group of wool fabrics have been compared with the four groups of polyester Shingosen fabrics, namely, New Silky, New Worsted, Rayon Touch and Peach Face, which are recognised for their soft fluid drape.
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Outlines the main laws in Israel regulating financing of terrorism: the Defence (Emergency) Regulations 1945, the Prevention of Terrorism Ordinance 5708‐1948, the Penal Law…
Abstract
Outlines the main laws in Israel regulating financing of terrorism: the Defence (Emergency) Regulations 1945, the Prevention of Terrorism Ordinance 5708‐1948, the Penal Law 5737‐1977, the Prohibition on Money Laundering Law 5760‐2000, the Combating Criminal Organisations Law 5763‐2003, and the Prohibition of Terrorism Bill 5763‐2003. Details the provisions of this last Bill; they cover government declaration of an organisation or person engaging in terrorism, offences under the law, administrative seizure proceedings, forfeiture of property in criminal proceedings, and amendments to the Prohibition on Money Laundering Law. Concludes that together the recent legislation provides a secure normative framework against terrorist financing.
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Bouazza Zoubida, Mohammed Said Souid, Hatira Günerhan and Hadi Rezazadeh
The purpose of this paper is to investigate the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with…
Abstract
Purpose
The purpose of this paper is to investigate the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO). The study utilizes standard fixed point theorems (FiPoTh) to establish the existence and uniqueness of solutions. Additionally, the Ulam-Hyers-Rassias (Ul-HyRa) stability of the considered problem is examined. The obtained results are supported by an illustrative example. This research contributes to the understanding of fractional differential equations with variable order and anti-periodic boundary conditions, providing valuable insights for further studies in this field.
Design/methodology/approach
This paper (1) defines the Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO); (2) discusses the existence and uniqueness of solutions to these equations using standard FiPoTh; (3) investigates the stability of the considered problem using the Ul-HyRa stability concept (Ul-HyRa); (4) provides a detailed explanation of the design and methodology used to obtain the results and (5) supports the obtained results with a relevant example.
Findings
The authors confirm that no funds, grants or any other form of financial support were received during the preparation of this manuscript.
Originality/value
The originality/value of our paper lies in its contribution to the field of fractional differential equations. Specifically, we address the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order. By utilizing standard FiPoTh and investigating Ul-HyRa stability, we provide novel insights into this problem. The results obtained are supported by an example, further enhancing the credibility and applicability of your findings. Overall, our paper adds to the existing knowledge and understanding of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions, making it valuable to the scientific community.
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Xuemei Li, Yuyu Sun, Yansong Shi, Yufeng Zhao and Shiwei Zhou
Accurate prediction of port cargo throughput within Free Trade Zones (FTZs) can optimize resource allocation, reduce environmental pollution, enhance economic benefits and promote…
Abstract
Purpose
Accurate prediction of port cargo throughput within Free Trade Zones (FTZs) can optimize resource allocation, reduce environmental pollution, enhance economic benefits and promote sustainable transportation development.
Design/methodology/approach
This paper introduces a novel self-adaptive grey multivariate prediction modeling framework (FARDCGM(1,N)) to forecast port cargo throughput in China, addressing the challenges posed by mutations and time lag characteristics of time series data. The model explores policy-driven mechanisms and autoregressive time lag terms, incorporating policy dummy variables to capture deviations in system development trends. The inclusion of autoregressive time lag terms enhances the model’s ability to describe the evolving system complexity. Additionally, the fractional-order accumulative generation operation effectively captures data features, while the Grey Wolf Optimization algorithm determines optimal nonlinear parameters, enhancing the model’s robustness.
Findings
Verification using port cargo throughput forecasts for FTZs in Shanghai, Guangdong and Zhejiang provinces demonstrates the FARDCGM(1,N) model’s remarkable accuracy and stability. This innovative model proves to be an excellent forecasting tool for systematically analyzing port cargo throughput under external interventions and time lag effects.
Originality/value
A novel self-adaptive grey multivariate modeling framework, FARDCGM(1,N), is introduced for accurately predicting port cargo throughput, considering policy-driven impacts and autoregressive time-lag effects. The model incorporates the GWO algorithm for optimal parameter selection, enhancing adaptability to sudden changes. It explores the dual role of policy variables in influencing system trends and the impact of time lag on dynamic response rates, improving the model’s complexity handling.
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Hassan Yousefi and Iradj Mahmoudzadeh Kani
The purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the…
Abstract
Purpose
The purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the unified-form of generalized fully-coupled saturated thermo-poro-elastic systems in the axisymmetric cylindrical coordinate via cell-adaptive Kurganov-Tadmor (KT) central high-resolution scheme using the UNO limiters.
Design/methodology/approach
(1) The spectral features of the UNO limiter are improved by compression-adaptive MINMOD (MM) limiters, achieved by blending different types of MM limiters to achieve less numerical dissipation and dispersion. These blended MM limiters preserve the total variation diminishing (TVD) feature over non-uniform non-centered cells. Also, the spectral features of the central schemes using the UNO limiters are investigated. (2) For the thermo-poro-elastic problem, corresponding first-order hyperbolic system is provided, including flux, source, diffusion and nonlinear terms. Where, there are different interacting components in the source and flux terms. The nonlinear terms are also considered by the Picard-like linearization concept.
Findings
Compression-adaptive UNO limiters would be stable over adapted cells with centered and non-centered cells. The benchmarks confirm that both spectral features and numerical accuracy are improved. For the generalized thermo-poro-elastic problem, corresponding responses including the shock waves can properly be captured.
Originality/value
Studying heat effects (e.g. hot fluid or freezing) and explosions on tunnels. Also, the UNO limiters could be used for simulations of various systems of conservation laws.
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Gang Wei, Weiwei Ma and Lingbin Shan
This paper aims to conduct research on the role of vertical interlocks of executives in blocking adverse loops between research and development (R&D) investment and the cost of…
Abstract
Purpose
This paper aims to conduct research on the role of vertical interlocks of executives in blocking adverse loops between research and development (R&D) investment and the cost of equity capital and explore the action path of vertical interlocks of executives. This paper also analyzes the differences in the effect of vertical interlocks of chairman, vertical interlocks of chief executive officer (CEO) and vertical interlocks of CEO duality.
Design/methodology/approach
This paper uses 28,078 firm-year samples from Chinese A-share listed companies to study the impact of R&D investment on the cost of equity capital using univariate group analysis and multiple regression methods. This paper analyzes the role of vertical interlocks of executives in reducing the positive impact of R&D investment on the cost of equity capital by constructing interaction variables, by using group testing method to analyze the differences in the vertical interlocks of executives. This study also uses propensity score matching and instrumental variables to conduct robustness tests.
Findings
The vertical interlocks of executives can block adverse loops between R&D investment and the cost of equity capital. The role of executive vertical interlocks is more prominent in non-state-owned firms, mainly exerting the resource effect that supports the innovation of non-state-owned firms, including the information resource effect and the financial resource effect. Through heterogeneity analysis, this paper discovered that the role of vertical interlocks of chairman is greater than that of the CEO and the CEO duality.
Originality/value
Based on the perspective of the correlation effect generated by vertical interlocks of executives, this paper analyzes the path of promoting corporate innovation. This provides new empirical evidence for studying the collaborative governance effect of vertical interlocks of executives “supervision effect, financial resource effect and information resource effect.” This study provides useful insights for regulatory authorities to regulate and guide development of the vertical interlocks of executives.
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In this paper, the dynamical properties and analytic solutions of the coupled Drinfel’d–Sokolov–Wilson equation with a conformal derivative are studied by the complete…
Abstract
Purpose
In this paper, the dynamical properties and analytic solutions of the coupled Drinfel’d–Sokolov–Wilson equation with a conformal derivative are studied by the complete discrimination system for the polynomial method. Not only are the Hamiltonian and topological properties of this equation are presented, but also all exact traveling wave solutions are found.
Design/methodology/approach
The complete discrimination system for the polynomial method serves as the cornerstone of the analytical approach, facilitating both the analysis of dynamic properties and the derivation of exact solutions for the equation under study.
Findings
The study shows that by adjusting specific parameters, various classified solutions such as rational function solutions, solitary wave solutions and periodic function solutions can be realized in practical applications. Furthermore, numerical analysis shows that the introduction of different external perturbation terms in the coupled Drinfel’d–Sokolov–Wilson equations with conformal derivative can confirm the presence of chaotic behaviors.
Originality/value
The coupled Drinfel’d–Sokolov–Wilson equation is analyzed qualitatively and quantitatively using the same method. Firstly, the dynamical system is analyzed qualitatively using a third-order discriminant system to predict the type of solutions. Then, use a fourth-order discriminant system to solve the exact solutions and maintain parameter consistency. This method ensures that the results of qualitative and quantitative analysis are achieved under the same set of parameters, thereby improving the coherence and reliability of the research.
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Lei Chen, Lihong Cheng, Yuxing Cheng and Xuesong Xu
This paper considers an e-tailer planning to distribute a product under one direct sales channel and multiple asymmetric agency platforms. Based on the multinomial logit (MNL…
Abstract
Purpose
This paper considers an e-tailer planning to distribute a product under one direct sales channel and multiple asymmetric agency platforms. Based on the multinomial logit (MNL) choice model, this study optimizes the pricing strategy and channel selection strategy to maximize the e-tailer’s profit.
Design/methodology/approach
A two-stage channel selection and pricing problem is formulated, where the profit-maximizing e-tailer first optimally selects a specified number of agency platforms from a set of alternatives to distribute the product and then determines the optimal prices in those channels.
Findings
An optimal pricing strategy is proposed to maximize the e-tailer’s total profit on multiple asymmetric channels. The results show that the e-tailer can obtain a higher profit by selling products on more asymmetric agency platforms. Moreover, an effective channel selection algorithm is provided to help the e-tailer optimally select the M agency platforms from N alternatives.
Originality/value
This study enriches the relevant research on multichannel selection and pricing by proposing an optimal pricing strategy and an effective channel selection algorithm. Evaluation results based on real-world industrial data show that the proposed optimal multichannel pricing strategy in this paper can significantly improve the profit of a real-world e-tailer compared to the e-tailer’s actual profit.
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Dohyoung Kim, Sojin Jang and Eungdo Kim
This study investigates the effects of diversity and specialty on the performance of public research and development (R&D) teams and addresses a gap in research that has largely…
Abstract
Purpose
This study investigates the effects of diversity and specialty on the performance of public research and development (R&D) teams and addresses a gap in research that has largely focused on diversity without adequately considering specialty. It explores the influence of educational background and level, as aspects of diversity, and specialty on team performance and innovation, particularly among leaders and members.
Design/methodology/approach
Employing panel data from the National Science and Technology Information Service and a modified rank-normalized impact factor index for innovation performance, this study differentiates between educational background and level. It examines their influence on the performance of public R&D teams by focusing on the dynamics between diversity and specialty in leader and member groups.
Findings
The study finds that diversity in educational level boosts performance in member groups, whereas “leaders” performance is more closely linked to their educational background and specialty. The results underscore the importance of managing educational diversity and specialty within leader and member groups and highlight the need to avoid a unilateral emphasis on singular necessity.
Originality/value
This study’s novelty lies in its examination of the influence of educational diversity and specialty on innovation performance within the framework of inter-organizational public R&D teams, considering the interaction between these factors among leaders and members. It offers new insights for establishing inter-organizational teams and contributes a unique perspective to the literature on innovation management.