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This research aims to empirically investigate the impacts of product and international diversification strategies on firm-level inventory performance.

This study empirically examines the associations between product and international diversification strategies and inventory performance based on a sample of 64,124 observations across 7,367 US publicly traded firms between 1989 and 2019 from the COMPUSTAT Segment, Fundamental Annual and Fundamental Quarterly data files. We employ both linear and nonlinear regression models to perform our empirical analysis.

This research provides strong evidence that there exists a U-shaped relationship between unrelated product diversification and inventory level and a partially inverted U-shaped relationship between international diversification and inventory level. We also find a positive impact of related product diversification on inventory level, but there is no significant curvilinear relationship between related product diversification and inventory level.

Our research findings offer important insights into top management’s strategic planning for diversification strategies and operations manager’s inventory control policies to achieve the strategic fit between corporate diversification and inventory management.

Product and international diversification strategies not only play an essential role in the firm’s competitive advantage, but also have a significant influence on operations manager’s inventory decision. This research is among the first to systematically investigate how top management’s related product, unrelated product and international diversification strategies may have complex nonlinear impacts on inventory performance.

A supply chain is two or more parties linked by a flow of goods, information, and funds. When one or more parties of the supply chain try to optimize their own profits, system performance may be hurt. Supply chain contract is a coordination mechanism that provides incentives to all of its members so that the decentralized supply chain behaves nearly or exactly the same as the integrated one. We have seen a vast literature on supply chain contracts recently. However, little work has been done on the relationships of those supply chain contract models. In this paper, we provide a general framework that synthesizes existing results for a variety of supply chain contract forms.

The high-speed rail network can lead to the transformation of the tourism industry, as well as the regional economy. In the present study, a reasonable method was developed to assess the contributions of high-speed rail network to the development of tourism and economy in a Chinese region known as the “1 + 8” city tourism circle.

The method proposed here combines not only tourism revenue but also regional economy in a MGM (1, n) gray model, and it studies the tourist and economic output of this tourism circle before and after the high-speed rail network’s construction using an advanced “with and without comparison” method.

By using this method, the accuracy of the prediction of the contribution rate of high-speed rail network is improved. We found that in the “1 + 8” city tourism circle, the high-speed rail network positively contributes to increase of the tourism arrival and tourism revenue. Furthermore, regional economy significantly grows under the impact of the high-speed rail network.

The “1 + 8” city tourism circle is studied as a closed system in this paper, and the authors focus on the economic associations between the cities in the circle by ignoring the impact from outside this circle. This treatment means, simplifies and enables the feasibility of this study, but it virtually leads to the deviation of outcomes between this study and the practical.

For theoretical values, by studying a normal Chinese inland region, this study reconfirmed the positive impact of high-speed railway empirically. In the meantime, this study developed an improved method by introducing gray theory models to “with and without comparison” method to calculate the contribution of high-speed railway to the regional tourism and economy development. Such method simultaneously incorporates the indexes of regional tourism income and regional GDP simultaneously. It is direct and convenient as it can achieve accuracy requirements using only a small amount of data, and it reconciles more with reality by considering the interaction of the outcomes of tourism and economy.

For practical values, using the proposed method, a direct and convenient calculation of the contributions of high-speed railway to many other regions can be achieved if the data of the outcomes of tourism and economy can be obtained. In such a way, the regions that really need high-speed railway to stimulate their development can be distinguished from regions whose high-speed railway is under blind construction. Thus, the government may take actions to reassess some uneconomic high-speed railway projects without discouraging the construction of high-speed railway in other regions. The authors believe that this is important not only for China but also for many other countries with high-speed railway projects.

This study develops a reasonable method of assessing the contribution of high-speed rail to regional tourism and economic development. Using this method, this study confirmed that high-speed rail indeed positively impacts the regional development.

抽象

高速铁路（HSR）网络可以带动旅游业乃至区域经济的转型。本研究构建了一个合理的方法来评估高铁网络对中国 “1+8” 城市旅游圈的旅游产业和区域经济发展的贡献。

本文提出的方法将旅游收入和区域经济的指标结合在一个MGM（1，n）灰色模型中，并采用先进的 “有无比较法” 来研究高铁网建设前后该旅游圈的旅游和经济产出。

利用该方法，可更精准地预测高速铁路网的贡献率。研究发现，在“1+8” 城市旅游圈中，高铁网络对游客到访量和旅游收入的增加起到了积极的促进作用。此外，在高铁网络的影响下，区域经济得到了显著增长。

本文将 “1+8” 城市旅游圈作为一个封闭的系统进行研究，忽略了外部因素的影响，而重点研究旅游圈内城市之间的经济联系。这种处理方法简化了本研究的过程，增加了研究的可行性，但实际上导致了本研究结果与现实存在偏差。

就理论上而言，本文通过对一个典型的中国内陆地区展开研究，从经验上重新确认了高速铁路的积极影响。同时，将灰色理论模型引入到“有无比较法” 中，提出了一种改进方法，用以计算高速铁路对区域旅游业和经济发展的贡献。该方法同时结合了区域旅游收入和GDP指标，十分直接方便，只需要少量数据就可以达到准确的要求；并且由于它考虑到了旅游业和经济的相互作用，更符合实际。

就实用价值而言，只需获得旅游业和经济成果的数据，即可利用该方法直接方便地计算高铁对众多其他地区的贡献。这样一来，就可以将真正需要高铁来刺激发展的地区与盲目建设高铁的地区区分开来。由此，政府可以对一些不经济的高速铁路项目进行重新评估，而不妨碍其他地区的高铁建设。笔者认为，这对中国乃至其他许多国家的高铁项目建设来说是很重要的。

本研究提出了一种合理的方法来评价高铁对区域旅游业和经济发展的贡献。利用这一方法，本研究证实了高铁确实对区域发展产生了积极的影响。

Resumen

La red de ferrocarril de alta velocidad (HSR) puede liderar la transformación de la industria turística, así como la economía regional. En el presente estudio, se ha desarrollado un método para evaluar las contribuciones de la red ferroviaria de alta velocidad, en el desarrollo económico en una región China conocida como el círculo de turismo urbano “1+8”.

El método que se propone combina, no solamente los ingresos por turismo, sino también la economía regional en un modelo MGM (1,n) gris, y estudia la producción turística y económica de este círculo turístico, antes y después de las construcción de la red ferroviaria de alta velocidad utilizando un método “con y sin comparación”.

Usando este método, se mejora la predicción de la tasa de contribución de la red de alta velocidad. Nosotros descubrimos que en el círculo “1+8”, la red ferroviaria de alta velocidad contribuye positivamente al aumento en la llegadas de turistas y los ingresos por turismo. Además, la economía regional, crece significativamente bajo el impacto de esta red.

En este artículo, el círculo de turismo urbano “1+8”, se estudia como un sistema cerrado, se enfoca en la asociación económica entre las ciudades, pero ignorando el impacto desde fuera. Este tratamiento significa simplificar y habilitar la viabilidad de este estudio, pero prácticamente conduce a la desviación de los resultados entre este estudio y la practica.

El valor teórico, estudiando una región normal del interior de China, reconfirma el impacto positivo del ferrocarril de alta velocidad. Mientras tanto, este estudio desarrolla un método mejorado, introduciendo los modelos de “teoría gris” en los métodos “con y sin comparación”, para el calculo de la contribución del ferrocarril de alta velocidad en el desarrollo de la economía regional y turística. Además y simultáneamente, el método incorpora los índices de ingresos del turismo regional y el PIB. Esto es directo y conveniente, ya que puede cumplir con los requisitos de precisión, usando solamente una pequeña cantidad de datos, y concilia más con la realidad considerando la interacción del resultado del turismo y economía.

Para los valores prácticos, usando el modelo propuesto, se puede lograr un cálculo directo y conveniente de las contribuciones del ferrocarril de alta velocidad a muchas otras regiones, y se pueden obtener datos del impacto del turismo y la economía. De esta manera, las regiones que realmente necesiten el ferrocarril de alta velocidad para estimular su desarrollo, se podrán diferenciar de aquellas otras que lo planteen a ciegas. Por lo tanto, los gobiernos deberían tomar acciones para reevaluar algunos proyectos ferroviarios de alta velocidad ineficientes, sin desalentar la construcción de los mismos en otras regiones. Los autores creen que esto no sólo es importante para China, sino también para muchos otros países con proyectos de ferrocarriles de alta velocidad.

Este estudio desarrolla un método razonable de evaluación de la contribución del ferrocarril de alta velocidad, en el desarrollo de la economías regionales y turísticas. Usando este método, este estudio confirma que el ferrocarril de alta velocidad añade impactos positivos en el desarrollo regional.

The purpose of this paper is to analyze the mechanism and filter efficacy of accumulation generation operator (AGO)/inverse accumulation generation operator (IAGO) in the frequency domain.

The AGO/IAGO in time domain will be transferred to the frequency domain by the Fourier transform. Based on the consistency of the mathematical expressions of the AGO/IAGO in the gray system and the digital filter in digital signal processing, the equivalent filter model of the AGO/IAGO is established. The unique methods in digital signal processing systems “spectrum analysis” of AGO/IAGO are carried out in the frequency domain.

Through the theoretical study and practical example, benefit of spectrum analysis is explained, and the mechanism and filter efficacy of AGO/IAGO are quantitatively analyzed. The study indicated that the AGO is particularly suitable to act on the system's behavior time series in which the long period parts is the main factor. The acted sequence has good effect of noise immunity.

The AGO/IAGO has a wonderful effect on the processing of some statistical data, e.g. most of the statistical data related to economic growth, crop production, climate and atmospheric changes are mainly affected by long period factors (i.e. low-frequency data), and most of the disturbances are short-period factors (high-frequency data). After processing by the 1-AGO, its high frequency content is suppressed, and its low frequency content is amplified. In terms of information theory, this two-way effect improves the signal-to-noise ratio greatly and reduces the proportion of noise/interference in the new sequence. Based on 1-AGO acting, the information mining and extrapolation prediction will have a good effect.

The authors find that 1-AGO has a wonderful effect on the processing of data sequence. When the 1-AGO acts on a data sequence X, its low-pass filtering effect will benefit the information fluctuations removing and high-frequency noise/interference reduction, so the data shows a clear exponential change trends. However, it is not suitable for excessive use because its equivalent filter has poles at the non-periodic content. But, because of pol effect at zero frequency, the 1-AGO will greatly amplify the low-frequency information parts and suppress the high-frequency parts in the information at the same time.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

Several governments in Canada have made commitments to adopting evidence-based policy development. Several obstacles to the adoption of this approach have been identified in the policy literature. However, this literature has lacked an economic perspective. This is unfortunate, since economics has produced the most fully developed normative theory of government policy in the social sciences and humanities. The main elements of this theory are the theory of market failure and the theory of non-market failure, and the integration of those two elements in what Charles Wolf called implementation analysis. The Austrian economics tradition also offers the implications of what is often called Hayek’s knowledge problem and the lessons learned from the economic calculation debate as contributions to the understanding of the challenges facing the application of evidence-based policy. The authors propose adding four economic elements to the current model of evidence-based policy development: (1) providing sufficient and convincing evidence that a market failure has occurred; (2) providing sufficient and convincing evidence that a non-market failure is unlikely to occur or if it does occur the damages from the non-market failure will be less serious than the harm resulting from the market failure; (3) an appreciation of the distributed and conflicted character of social knowledge; and (4) the technical challenges involved in constructing a social preference order. The authors illustrate the application of the economic approach to evidence-based policy with an example from rural land use policy in Ontario.

The purpose of this paper is to explore leadership succession in families in business. Although there is a vast amount of research on leadership succession, no attempt has been made to understand this phenomenon by using an intergenerational learning approach. By applying the Double ABC–X model, the authors discuss how resilience is developed through intergenerational learning during family leadership succession in business.

Based on a single case, the authors define pre- and post-event parameters of the business family under study and use the Double ABC–X Model as an analytical framework. Individual and pair interviews, as well as a family firm workshop, were undertaken following an action research approach using multiple interventions. The qualitative data were collected by reflective journals, field notes and observation protocols. Finally, the authors analyze the data according to a circular deconstruction strategy.

The authors find specific pre-event stressor parameters related to mutual mistrust, independent decision making and non-strategic transmission of power, knowledge and responsibility from predecessor to successor. The intervention based on the intergenerational approach during the post-crisis phase focuses on problem solving and coping within the new situation of co-habitation among the two generations. The intergenerational learning approach based on pile-up of demands, adaptive resources and perception is the source of family adaptation. Additionally, the power of the narrative to reflect past events and project the future seems to the point where the family starts developing resilience.

The way family businesses deal with critical and stressful events during leadership succession may lead to intergenerational learning, which is a source of resilient families. The authors apply the Double ABC–X model to understand family leadership succession in business and further develop it to explain how families develop resilience.

This scoping review article aimed to systematically search the literature on the use, purpose and barriers of information and communication technology (ICT) for culturally and linguistically diverse (CALD) older adults in the host country. The review also conducted a search for literature on programs that aim to develop digital literacy skills for CALD older adults.

A scoping review approach was utilized to identify and search the available literature, and to map the key concepts. A total of 23 relevant articles were included following a systematic search across seven databases.

The review suggests that CALD older adults use ICT for various purposes, including social interaction, health management, information gathering, immigration, everyday routines and leisure. The barriers faced by these older adults in using ICT encompass fear and limited knowledge, language issues, lack of interest, limited access to technology and health concerns. The existing training programs focus on enhancing self-efficacy and confidence and promoting attitudinal changes toward ICT.

Despite the presence of empirical studies, few scoping or systematic reviews have focused on CALD older adults and technology. Research developments related to the technology use of CALD older adults and associated training programs have been fragmented and sporadic, resulting in gaps in the evidence base. This review fills such a gap to better understand the research status connected to CALD older people’s technology adoption and use.