Search results

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

Emphasizing the critical role of technology-enabled distribution in tourism, this study, a viewpoint, aims to highlight the potential of democratized technologies in readdressing the competitive imbalance between small- and medium-sized tourism enterprises (SMTEs) and their larger peers in today’s online marketplace. By enhancing competitiveness and performance, democratized technologies can strengthen the resilience, sustainability and competitive position of the SMTEs on which tourism depends, helping to support the Horizon 2050 agenda and UN’s Sustainable Development Goals.

Examining the development of online and electronic distribution in tourism, the viewpoint identifies the key challenges to the successful use of technology-based distribution systems by SMTEs, as well as highlights the trend toward democratized technologies as a potential solution to help improve technology take-up and performance.

With no/low initial capital or operating costs, and little need for technical expertise, democratized technologies have the potential to overcome two of the three key challenges limiting the successful adoption and use of distribution technologies by SMTES. The key blockage remains one of managerial awareness and acceptability. With informal organization structures, little managerial or technical training and an ingrained reluctance to change, SMTE managers remain unfamiliar of the possibilities offered by this developing trend. While this challenge could be addressed by awareness building and training, in the longer run, it is likely that more substantial progress will arise from generational change in SMTE management, with digitally native successors more likely to exploit this development to improve competitiveness and performance.

Emphasizing the pivotal role that democratized technology can potentially play in redressing the competitive imbalance between SMTEs and their larger peers in the distribution space, this viewpoint serves as a call for action for tourism businesses to re-examine their approach to technology adoption and leverage democratized technologies to address current deficiencies in their distribution approach, helping to improve competitiveness and performance, thus supporting the Horizon 2050 initiative and furthering the UN’s Sustainable Development Goals.

这篇观点论文强调了技术驱动的分销在旅游业中的关键作用, 强调了民主化技术在重新解决中小旅游企业（SMTEs）与其大型同行在当今在线市场中的竞争失衡方面的潜力。通过提高竞争力和绩效, 民主化技术可以加强旅游业所依赖的SMTE的韧性、可持续性和竞争地位, 有助于支持地平线2050议程和联合国可持续发展目标。

该观点论文考察了在线和电子分销在旅游业的发展, 确定了SMTE成功使用基于技术的分销系统的关键挑战, 并强调了将民主化技术作为帮助提高技术使用率和性能的潜在解决方案的趋势。

由于没有/较低的初始资本或运营成本, 也几乎不需要技术专业知识, 民主化技术有可能克服限制SMTES成功采用和使用分销技术的三个关键挑战中的两个。关键的障碍仍然是管理意识和可接受性。由于非正式的组织结构、很少的管理或技术培训以及根深蒂固的不愿改变, SMTE的管理人员仍然不熟悉这一发展趋势所提供的可能性。虽然这一挑战可以通过提高认识和培训来解决, 但从长远来看, SMTE管理的代际变革可能会带来更大的进展, 数字原生继任者更有可能利用这一发展来提高竞争力和绩效。

强调民主化技术在纠正SMTE与其在分销领域的大型同行之间的竞争失衡方面可能发挥的关键作用, 本文呼吁旅游企业采取行动, 重新审视其采用技术的方法, 并利用民主化技术来解决其分销方法中的当前缺陷, 帮助提高竞争力和绩效, 从而支持地平线2050倡议, 推动联合国的可持续发展目标。

Haciendo hincapié en el papel fundamental de la distribución posibilitada por la tecnología en el turismo, este punto de vista destaca el potencial de las tecnologías democratizadas para corregir el desequilibrio competitivo entre las Pequeñas y Medianas Empresas Turísticas (PYMETs) y sus homólogas de mayor tamaño en el mercado online actual. Al mejorar la competitividad y el rendimiento, las tecnologías democratizadas pueden reforzar la resistencia, la sostenibilidad y la posición competitiva de las PYMETS de las que depende el turismo, contribuyendo así a apoyar la agenda Horizonte 2050 y los Objetivos de Desarrollo Sostenible de la ONU.

Examinando el desarrollo de la distribución online y electrónica en el turismo, el punto de vista identifica los desafíos clave para el uso exitoso de los sistemas de distribución basados en la tecnología por parte de las PYMETs, así como destaca la tendencia hacia las tecnologías democratizadas como una solución potencial para ayudar a mejorar la adopción y el rendimiento de la tecnología.

Con unos costes iniciales de capital o de funcionamiento nulos o bajos, y poca necesidad de conocimientos técnicos, las tecnologías democratizadas tienen el potencial de superar dos de los tres retos clave que limitan la adopción y el uso con éxito de las tecnologías de distribución por parte de las PYMETs. El bloqueo clave permanece en la concienciación y la aceptación por parte de los directivos. Con estructuras organizativas informales, escasa formación técnica o de gestión y una arraigada reticencia al cambio, los directivos de las PYMETs permanecen desconocedores de las posibilidades que ofrece esta tendencia en desarrollo. Aunque este reto podría abordarse mediante la concienciación y la formación, a largo plazo es probable que surjan progresos más sustanciales del cambio generacional en la gestión de las PYMETs, con sucesores nativos digitales más propensos a explotar este desarrollo para mejorar la competitividad y el rendimiento.

Haciendo especial hincapié en el potencial y fundamental papel que la tecnología democratizada puede desempeñar a la hora de corregir el desequilibrio competitivo entre las PYMETs y sus homólogas de mayor tamaño en el espacio de la distribución, este punto de vista sirve de llamada a la acción para que las empresas turísticas reexaminen su enfoque de la adopción de tecnología y aprovechen las tecnologías democratizadas para subsanar las deficiencias actuales en su enfoque de la distribución, ayudando a mejorar la competitividad y el rendimiento, apoyando así la iniciativa Horizonte 2050 y fomentando los Objetivos de Desarrollo Sostenible de la ONU.

Environment, social and governance (ESG) practices and shareholder activism are making significant strides in the decision-making policies and processes for all firms. This study aims to assess the impact of ESG on the dividend payout decisions of firms in India. In addition, it also aims to determine how shareholder activism influences the impact of ESG on dividend distribution decisions.

The authors gather relevant data from 78 non-financial listed Indian firms from 2016 to 2020. This study undertakes longitudinal data analysis, with fixed effects and calculation of robust standard errors. In addition, the slope test is used to examine the effects of the interaction between ESG and shareholder activism.

It is found in the study that not only does ESG positively impact the dividends but also shareholder activism positively impacts the dividend distribution decisions. Surprisingly, the authors see a significant but negative interaction impact of shareholder activism on the positive association of ESG with dividend distribution decisions. In other words, ESG impacts dividend distribution decisions differently at levels of shareholder activism. When shareholder activism is low, ESG positively influences dividend distribution decisions. However, when shareholder activism is high, ESG negatively influences dividend distribution decisions.

This result has significant implications for all the stakeholders, including shareholders. A shareholder expecting a dividend could decide correctly through the current study’s findings. In cases of high shareholder activism, investors may skip picking a stock if investors expect high ESG to influence the dividend distribution decisions favourably. On the contrary, investors may choose a stock if shareholder activism is low and all else remains the same.

Literature has some evidence of the influence of shareholder activism and ESG (in silos) on the dividend distribution decisions in the firms. This study attempts to contribute by bringing forth the interaction effects of shareholder activism and ESG on dividend distribution decisions.

This study investigated the gender wage gap in Nigeria by analysing two waves of household surveys (in 2003–2004 and 2018–2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The study applied an extension of Oaxaca–Blinder decomposition that relies on the re-centred influence function (RIF) regressions to analyse the gender wage gap at all points along the wage distribution.

The results unambiguously show that there is a significant gender wage gap in Nigeria at all points along the wage distribution, such that for the two surveys used and after nearly two decades, men still earn more than women. That is, the log wage difference between males and females is statistically significant at all points between the 10th and the 90th quantiles. In 2003–2004 period, the authors found that most of the wage difference was significantly accounted for by the wage structure effect, whilst the composition effect was negative and only significant at the bottom of the wage distribution. Since the 2018–2019 period, the authors found that there has been a visible change such that most of the gender wage gap is now accounted for by the composition effect at all points along the wage distribution. Another interesting finding is that there has been a general decline in the gender wage gap along the entire wage distribution, such that inequality was higher in 2003–2004 than in 2018–2019. This decline is bigger at the top than at the bottom of the wage distribution. The authors also found that, contrary to some of the studies on the wage gap, the raw gaps for the two surveys appear to show inverted U-shape, but the gap has fallen quickly since the 2018–2019 period. Thus, the authors found strong evidence of a “sticky floor” compared to a “glass ceiling” effect in both periods, and this becomes more pronounced over time. In terms of the contributions of individual covariates on gender pay gap in Nigeria, the authors found that urban residence, unionisation, education and occupation variables exhibit major influence. However, the effects of covariates on the composition and wage structure components of the wage gap have changed over time.

The major policy implication of these findings is that to address the gender wage gap in Nigeria, policy should focus more on how labour is rewarded and improving human capital for women.

This study is a novel paper in Nigeria that has investigated the gender wage gap in Nigeria by extending the focus of literature in three ways. First, the authors applied an extension of Oaxaca–Blinder decomposition that relies on the RIF regressions to analyse the gender wage gap at all points along the wage distribution. Second, the authors used sample selection bias to account for the non-randomness of participation in wage employment. And third, the authors applied similar analysis to two waves of household surveys (in 2003/2004 and 2018/2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

Recently, electric vehicles have been widely used in the cold chain logistics sector to reduce the effects of excessive energy consumption and to support environmental friendliness. Considering the limited battery capacity of electric vehicles, it is vital to optimize battery charging during the distribution process.

This study establishes an electric vehicle routing model for cold chain logistics with charging stations, which will integrate multiple distribution centers to achieve sustainable logistics. The suggested optimization model aimed at minimizing the overall cost of cold chain logistics, which incorporates fixed, damage, refrigeration, penalty, queuing, energy and carbon emission costs. In addition, the proposed model takes into accounts factors such as time-varying speed, time-varying electricity price, energy consumption and queuing at the charging station. In the proposed model, a hybrid crow search algorithm (CSA), which combines opposition-based learning (OBL) and taboo search (TS), is developed for optimization purposes. To evaluate the model, algorithms and model experiments are conducted based on a real case in Chongqing, China.

The result of algorithm experiments illustrate that hybrid CSA is effective in terms of both solution quality and speed compared to genetic algorithm (GA) and particle swarm optimization (PSO). In addition, the model experiments highlight the benefits of joint distribution over individual distribution in reducing costs and carbon emissions.

The optimization model of cold chain logistics routes based on electric vehicles provides a reference for managers to develop distribution plans, which contributes to the development of sustainable logistics.

In prior studies, many scholars have conducted related research on the subject of cold chain logistics vehicle routing problems and electric vehicle routing problems separately, but few have merged the above two subjects. In response, this study innovatively designs an electric vehicle routing model for cold chain logistics with consideration of time-varying speeds, time-varying electricity prices, energy consumption and queues at charging stations to make it consistent with the real world.

The standard method to estimate a stochastic frontier (SF) model is the maximum likelihood (ML) approach with the distribution assumptions of a symmetric two-sided stochastic error v and a one-sided inefficiency random component u. When v or u has a nonstandard distribution, such as v follows a generalized t distribution or u has a χ2 distribution, the likelihood function can be complicated or untractable. This chapter introduces using indirect inference to estimate the SF models, where only least squares estimation is used. There is no need to derive the density or likelihood function, thus it is easier to handle a model with complicated distributions in practice. The author examines the finite sample performance of the proposed estimator and also compare it with the standard ML estimator as well as the maximum simulated likelihood (MSL) estimator using Monte Carlo simulations. The author found that the indirect inference estimator performs quite well in finite samples.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

This paper aims to prevent gasket sealing failure in engineering, accurately predict gasket life, extend system life and improve sealing reliability. The accelerated life test method of flexible graphite composite–reinforced gaskets is established, the life distribution law of flexible graphite composite–reinforced gaskets is revealed, and the life prediction method of flexible graphite composite–reinforced gaskets with different allowable leakage rates is proposed, which can provide a reference for the life prediction of other types of gaskets.

In this study, flexible graphite composite–reinforced gaskets were tested for long-term high-temperature sealing performance on a multi-sample gasket accelerated life test rig. The data were also analyzed using the least squares method and the K-S hypothesis calibration method. A gasket time-dependent leakage model and an accelerated life model were also developed. Constant stress-accelerated life tests were conducted on flexible graphite composite–reinforced gaskets. On this basis, a gasket life prediction method at different allowable leakage rates was proposed.

The life distribution law of flexible graphite composite–reinforced gaskets is revealed. The results show that the life of the gasket obeys the Weibull distribution. The time-correlated leakage model and accelerated life model of the gasket were established. And the accelerated life test method of the flexible graphite composite–reinforced gasket was established. The life distribution parameters, accelerated life model parameters and life estimates of gaskets were obtained through tests. On this basis, a gasket life prediction method under different leakage rates was proposed, which can be used as a reference for other types of gaskets.

The research in this paper can better provide guidance for the use and replacement of gaskets in the project, which is also very meaningful for predicting the leakage condition of gaskets in the bolted flange connection system and taking corresponding control measures to reduce energy waste and pollution and ensure the safe operation of industrial equipment.

A multi-specimen gasket-accelerated life test device has been developed, and the design parameters of the device have reached the international advanced level. The life distribution law of the flexible graphite composite–reinforced gasket was revealed. The accelerated life test method for the flexible graphite composite–reinforced gasket was established. The life prediction method of the flexible graphite composite–reinforced gasket under different allowable leakage rates was proposed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2023-0254/

The development of digital technology has provided technical support to various industries. Specifically, Internet-based freight platforms can ensure the high-quality development of the logistics industry. Online freight platforms can use cargo transportation insurance to improve their service capabilities, promote their differentiated development, create products with platform characteristics and increase their core competitiveness.

This study uses a generalised linear model to fit the claim probability and claim intensity data and analyses freight insurance pricing based on the freight insurance claim data of a freight platform in China.

Considering traditional pricing risk factors, this study adds two risk factors to fit the claim probability data, that is, the purchase behaviour of freight insurance customers and road density. The two variables can significantly influence the claim probability, and the model fitting outcomes obtained with the logit connection function are excellent. In addition, this study examines the model results under various distribution types for the fitting of the claim intensity data. The fitting outcomes under a gamma distribution are superior to those under the other distribution types, as measured by the Akaike information criterion.

With actual data from an online freight platform in China, this study empirically proves that a generalised linear model is superior to traditional pricing methods for freight insurance. This study constructs a generalised linear pricing model considering the unique features of the freight industry and determines that the transportation distance, cargo weight and road density have a significant influence on the claim probability and claim intensity.