Evaluating and Categorizing Cruise Lines by ship attributes: A Comparison Between Cruisers and Experts

Electronic Word-of-Mouth (eWOM) is an important information source used by consumers to make travel decisions. However, eWOM from travel experts and everyday travelers can be inconsistent, potentially leading to blurred product evaluations and market positioning. This paper examines this issue in the context of the cruise industry with the goal of identifying differences in the evaluation of cruise brands by cruise experts and consumers, as well as the product factors that influence these judgements. The research used a data-driven empirical approach and secondary data from a leading cruise review site consisting of scaled ratings across 9 ship attributes and 24 brands by more than 150,000 cruisers and 174 experts. Data analysis using the TOPSIS method and regression and multigroup models shows that experts and cruisers evaluate cruise brands differently and are influenced by different ship attributes when forming evaluations. For example, value-add attributes (e.g., service, enrichment activities, fitness/recreation) significantly influence overall evaluations for cruisers, while core attributes (e.g., cabin, dining, entertainment) significantly influence overall evaluations for experts. Discussion of the empirical results highlights these differences in cruiser vs. expert perceptions as revealed online, as well as the need to update traditional cruise industry categorization to optimize brand positioning and better align product-marketing strategies for effective target marketing.     

甜菊糖苷的功能特性及其在饮料工业中的应用

甜菊糖苷作为天然的高甜度、低热量甜味剂,已被广泛应用于食品、饮料中。本文阐述了甜菊糖苷的化学结构、理化功能特性,综述了甜菊糖苷的研究现状以及在饮料工业中的应用,指出其发展前景广阔,为甜菊糖苷的深入研究提供参考。     

Exploring the links among corporate social responsibility,reputation, and performance from a multi-dimensional perspective

This study examines the links among corporate social responsibility (CSR), reputation, and performance in hotel companies from a multidimensional perspective. Data were collected from 322 hotels in China and partial least squares equation modelling (PLS-SEM) was employed for a causal-predictive analysis. Study results reveal that CSR practices influence hotel reputation as seen from both international and local perspectives. CSR and reputation influence performance dimensions (accounting-based performance, market-based performance, and non-financial performance) differently. The research findings offer specific theoretical and practical implications for hotel managers.     

An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.     

经济新常态下煤炭企业发展战略研究

着眼于当前我国煤炭企业的新环境,我们要转变视角,致力于探索推动我国煤炭行业发展的新途径和新方法,为了更好地保护矿工的合法权益,保障煤炭行业的可持续发展,煤炭企业需要引进一些创新性技术和先进管理理念。论文主要基于关心矿工生命安全和煤炭企业安全发展的角度,对目前我国煤炭企业的发展提出一些思考和策略。     

Extinction accounting and accountability: Empirical evidence from the west European tissue industry

Recently, human activities are more and more invasive with respect to biodiversity. Several studies highlighted the key role played by accountants in contributing to the development of tools able to support company in assessing, reporting, and disseminating, as well as accomplishing, the preservation of natural species and ecosystems (King and Atkins, 2016). Corporate reporting of environmental information might increase the credibility of forest certifications, given that some scholars argued that certified forests are not often run, in a sustainable way. Moreover, certifications sometimes cover harmful forest practices (Elad, 2014) and do not ensure a good quality of environmental reporting and performance. The research question therefore intends to explore how extinction accounting and accountability (EAA) is able to reflect ex post the company's business strategy and, at the same time, influence ex ante its formulation by easing the prevention of deforestation risk and addressing the issue of credibility through specific actions. In more detail, the “Emancipatory Framework for Extinction Accounting and Accountability” (EFEAA) (Atkins and Maroun, 2018) was tested using content and interpretative analyses based on the reports inherent to top four companies working in West Europe in the tissue industry, where the preservation of forest heritage is a “compulsory route” for assuring the business sustainability, in terms of both raw material renewal and brand reputation. The findings highlighted the first attempt to carry out a qualitative research over the management of forest issues. In our study, companies tend to report advantages arising from the use of forest, but this kind of disclosure is too generic without providing evidence over the ecosystem services forests produce. Moreover, firm size affects the quantity and the quality of disclosure. At last, managerial implications and future research avenues are outlined and discussed.     

黑龙江森工林区林业产业结构演变趋势及优势产业选择

采用灰色预测方法对黑龙江森工林区2018—2027年林业三次产业产值进行预测,并在此基础上利用动态偏离-份额分析方法对此阶段黑龙江森工林区的林业优势产业进行选择。结果表明:2019年黑龙江森工林区林业产业结构将演变为"三、一、二"模式;林业第一产业中的林木育种和育苗、经济林产品的种植和采集业可作为优势产业进行重点发展和管理。因此,提出优化黑龙江森工林区林业产业结构的相关建议:继续巩固发展林木育种和育苗、经济林产品的种植和采集这两个优势产业;推动加工制造业向深加工、精加工的方向转变;加强林业旅游与休闲服务业的竞争力。     

Hen housing system information effects on U.S. egg demand

The U.S. egg industry has been moving rapidly towards “cage-free” aviary housing as an alternative to conventional cages for hens. A choice experiment was used to evaluate the U.S. public’s willingness to pay (WTP) for egg attributes including housing system, color, size, and certifying agency. A significant difference in WTP for hen housing systems was found using video information treatments describing hen housing systems. When respondents were shown videos of egg production systems, they were indifferent between cage-free aviary and the alternative enriched colony hen housing system whereas with no video information the respondents clearly preferred the cage-free system. Results point towards potential public misunderstanding of the costs and benefits associated with the “cage-free” egg label designation and highlight potential discrepancies between industry commitments and informed consumer preferences.     

河北省产业承接的技术溢出效应研究

京津冀协同发展战略上升为国家战略,河北加快承接京津产业转移的步伐,对河北经济转型升级和科技创新能力提升具有重要意义。以河北省为研究对象,基于2005-2016年的数据,使用DEA的曼奎斯特指数方法测算出河北省十二年的技术进步变化情况,并以此为核心变量建立技术溢出模型实证检验了产业承接的技术溢出效应。研究结果发现,河北存在承接区际产业的技术溢出效应,但FDI的技术溢出效应并不显著;R&D经费投入对河北技术进步的促进作用最为明显,而人力资本投入对技术进步的拉升作用较小。     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.