Exploring the multi-dimensionality of authenticity in dining experiences using online reviews

The quest for authenticity in dining experiences has become increasingly important. This paper explores authenticity dimensions that are of value to customers in dining experiences, and by that gains a multi-dimensional understanding of authenticity in this context. Following an integrated learning approach using text mining and classification techniques, this paper explores and confirms different dimensions of authenticity by identifying and classifying authenticity judgements in online restaurant reviews. The results suggest that authenticity is a multi-dimensional concept encompassing Authenticity of the Other, Authenticity of the Producer, and Authenticity of the Self as first-level dimensions. Additionally, besides historical and categorical authenticity which have been previously explored in the literature, a new type of authenticity - Deviated Authenticity - emerged as a second-level dimension falling under Authenticity of the Other. This paper enhances existing conceptualisations of authenticity and establishes avenues for exploring the multi-dimensionality of other consumer research concepts using user-generated content.     

军事遗产旅游资源分类与价值评估

军事遗产是重要的历史资源,尤其在历史教育、知识输出、国情教育等方面具有重要价值,因而可被视为独特的旅游资源。本文在国内外军事遗产研究综述的基础上,提出军事遗产的分类方法,共计2个大类、7个亚类、28个子类。在梳理国内外研究的基础上结合专家评价,提出军事遗产的旅游价值评估指标体系,包含要素价值、存续特征2个一级指标及游憩价值、历史价值、审美价值、社会价值、独特程度、规模程度、知名度、完整性、适游性、承载力和安全性11个二级指标,并进一步划分为可观赏性等23个三级指标。采用基于专家打分的层次分析法对指标权重赋值,形成军事遗产旅游价值评价的方法体系,并构建军事遗产旅游价值评价对比关系图,以指导资源群中的单体开发梯次。     

数字档案库参与“非遗”保护发展路径探析——以岭南传统艺术影像档案库为例

针对新时代非物质文化遗产传播和保护面对的现实问题，对非物质文化遗产传承和保护的数字化路径进行深入分析，对岭南传统艺术影像档案库参与非物质文化遗产保护和传承的实践研究得出，新时代的非物质文化遗产传播与保护应当充分运用数字化技术，借助新媒体平台为非遗保护传承赋能。通过创建非物质文化遗产数字化档案库的建设等多种方式，让数字化技术应用到非物质文化遗产的传承和保护当中。     

Authentication as Institutional Maintenance Work

Institutional maintenance work refers to actors’ deliberate effort to maintain an institution. This paper examines how actors use authentication, i.e., the relational constitution of an artefact as original or as a genuine expression of a particular type, style or person, to accomplish institutional maintenance work. We investigated contemporary adjustments to six listed buildings. These works were undertaken to keep these buildings functional while at the same time protecting their listing; by doing so they contributed to maintain the institution of Architectural Heritage. Our analysis identifies three forms of authentication: material consolidation, crafts mobilization and character enhancement. We elaborate on each of them and explain their institutional underpinnings and outcomes. The paper concludes with an articulation of authentication as a potent form of institutional maintenance work. Taking its starting point in materiality, authentication is a relational practice that helps maintain institutions relying on irreplaceable artefacts for their maintenance.     

Multinational mining enterprises and artisanal small-scale miners: From confrontation to cooperation

In many developing countries, multinational enterprises (MNEs) in mining operate alongside fast-growing communities of informal artisanal, small-scale miners. This has led to direct conflict and competition for mineral resources. This paper introduces the Salience and Institutional Analysis and Design framework as a means to analyze the MNE strategies used to address informal miners across different governance levels in the gold mining sector of Ghana and discusses the implications of these strategies for sustainability. We identify the emergence of a cooperative strategy with informal miners as a sustainable alternative to the political strategy of reliance on the state to protect tenure.     

Evaluating discounts as a dimension of customer behavior analysis

Today, increased competition between organizations has led them to seek a better understanding of customer behavior through identifying valuable customers. Customers’ expectations about the price and quality of products and services play an important role in their selection process. In online businesses, competition and price differences between suppliers is high, so discounts will attract different customers. As a result, discounts and the frequency and amount of purchases can lead to better understanding of customer behavior. Customer segmentation and analysis is essential for identifying groups of customers. Hence, this study uses a model based on RFM called RdFdMd, in which d is the level of discount used to analyze customer purchase behavior and the importance of discounts on customers’ purchasing behavior and organizational profitability. The CRISP-DM and k-mean algorithm were used for clustering. The results indicate that using the R_dF_dM_d model achieves better customer clustering and valuation, and discounts were identified as an important criterion for customer purchases.     

陕西省水文化遗产保护与利用

为系统探讨陕西省水文化遗产的保护与利用,丰富相关理论与实践,按照理论分析-现状分析-对策研究的思路,从陕西省水文化遗产内涵与价值分析出发,对陕西省水文化遗产构成类型进行梳理,指出陕西省水文化遗产历史深厚、类型多样、地域特色明显,河流、水利工程等资源等级较高,诗词、碑刻、民俗等资源存世量大。分析当前在认识理念、管理体制、保护经费等方面存在的问题,提出陕西省水文化遗产建设应着眼于以生态系统修复、人文系统重构、价值系统重塑、产业系统创新、管理系统再造的"全域统筹、理念重构"和基于遗址遗迹型、工程功能型和非物质文化型遗址功能与特征的"分类保护、层级联动"两大核心策略,兼顾"点、线、面"3个空间要素,构建陕西省水文化"点状布局、线状串联、流域覆盖"大遗产格局。     

Video mining: Measuring visual information using automatic methods

Marketers are becoming increasingly reliant on videos to market their products and services. However, there is no standard set of measures of visual information that can be applied to large datasets. This paper proposes two standard measures that can be automatically obtained from videos: visual variation and video content. The paper tests the measures on crowdfunding videos from a leading online crowdfunding website, and shows that the proposed measures have explanatory power on the funding outcomes of the projects. These measures can be effectively implemented and used for large datasets. Further, researchers can apply these measures to other sets of visual information, and marketers could use the research to guide their video design and improve their video marketing effectiveness.     

Improving candy industry competitiveness: Retailers’ perception regarding customer satisfaction

This study aims to classify service quality elements in candy industry in order to determine their instrumentality to customer satisfaction. To address this purpose, a Fuzzy Kano questionnaire was distributed to 512 major retailers of candy products of four predominant candy companies in Iran. Subsequently, we calculated satisfaction increment index (SII) and dissatisfaction decrement index (DDI) for each of the quality elements. Brand name and quality are considered as must-be elements, while availability of credit purchases is considered as indifferent element by the majority of retailers. Eight out of 24 studied elements are found to be considered as attractive elements by majority of customers. Regular visits element ranks first in terms of satisfaction increment index (SII). This paper provides helpful insight for marketers to prioritize improvement of different quality elements. Therefore, this paper helps organizations to perceive their customers needs more thoroughly and improve their customer satisfaction policy.     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.