Drivers of eWOM engagement on social media for luxury consumers: Analysis,implications, and future research directions

The rapid industrialization and growth across the world have fostered the consumption of luxury fashion brands. Electronic word-of- mouth on social media (eWOM) is fast becoming an effective and germane strategy to engage luxury consumers through posting pictures, sharing reviews, and communicating information on platforms like Facebook, Instagram, and TikTok. Extant research has not examined the antecedents and drivers that lead to eWOM behavior. We leverage self-congruity theory and through its focal lens, our study addresses this research gap through a survey conducted with 453 consumers in Mexico, Latin America's fastest growing market. Our results indicate that need for status, susceptibility to normative influence, and luxury brand involvement, moderated by authentic pride and social media influencers lead to eWOM behavior on social media. We also demonstrate that luxury brand involvement and susceptibility to normative influence mediate the relationship between need for status and eWOM behavior on social media. The study provides important implications to managers and researchers by suggesting long-term actionable strategies for growth that can help luxury firms develop a sustainable competitive advantage over rivals and competitors.     

The role of network embeddedness across multiple social networks: Evidence from mobile social network games

This article examines peer influences from network relationships within a social network game (i.e., embeddedness) and across such games (i.e., multiplexity). Drawing on social influence theory, we develop a bivariate Poisson model of users’ repeated visits and latent attrition that accommodates peer interaction after controlling for homophily. We estimate the model using data from two social network games with considerable overlap among network members. We find that friends who are only multiplex across games exert greater peer influence on users’ game visits than members who are embedded within a single game. We also determined that ignoring network multiplexity across games may lead firms to mistarget users due to biased peer influences of embedded friends. This result provides an unresearched explanation—strength of peer influence—for the mixed findings in previous literature on network embeddedness. We utilized our results to conduct several scenario analyses to demonstrate how firms can effectively manage users’ engagement and target users in multiple social network games.     

In the Bear’s Shadow? Russia’s International Image and Its Influence on Investments of Russian Companies in Post-Socialist Europe

The paper examines Russia’s international image and its influence on investment by Russian companies in post-socialist Europe. Findings are based on the cases of Gazprom’s South Stream Pipeline project, and Sberbank’s acquisition of Volksbank’s Central and Eastern European assets in Hungary and Serbia. The paper demonstrates that international positions and economic interests of two countries determinate decisions regarding investments of Russian companies, while Russia’s image to some extent accelerates these decisions in Serbia. The paper is based on the results of interviews with representatives of business communities conducted in Hungary and Serbia in 2012–2017, professional reports, and official documents.     

长三角港口腹地动态演变及耦合协调度研究

明确港口腹地演变趋势、分析港腹耦合协调度,对长三角地区港腹联动发展具有重要意义。量化港口系统—腹地系统综合指标评价体系,运用高斯烟羽模型在2006、2011、2016年3个时间节点上测算长三角地区主要港口影响强度,并对腹地范围进行划分,利用耦合协调模型定量分析港口系统和直接腹地经济系统耦合协调度。研究结果表明:长三角地区港口呈现"一超多强"的格局,以上海港为中心,各港口多极发展;港口腹地范围整体稳定,局部波动,上海港的边缘腹地不断缩减;港口与腹地的耦合协调度处于上升态势,宁波—舟山港腹耦合协调度最高。     

普惠金融发展的地区差异、收敛性及影响因素研究*——基于中国省级面板数据的检验

本文利用2005—2016年省级面板数据，对我国各地区普惠金融发展水平进行测度，并在此基础上探讨其收敛性及影响因素。结果表明：（1）我国普惠金融发展水平在考察期内总体偏低，并且呈现出显著的地区差异性。（2）绝对β收敛在全国、中部和西部均存在，而东部不存在；条件β收敛在全国、东部和西部均存在，而中部不存在。（3）政府干预程度、市场化程度、人力资本质量、非正规金融以及外商直接投资对普惠金融发展均具有重要的影响。     

陕西农村居住地生态环境影响因素分析

[目的]随着农村城镇化进程的加快,由此引发的农村居住地生态环境恶化已成为制约农业和农村经济可持续发展的瓶颈,加强农村居住地生态环境保护和治理,是目前亟待解决的重要问题。研究分析农村居住地生态环境影响因素,为有效改善居住地生态环境提供重要理论依据。[方法]以陕西省为主要研究区域,采用层次分析法,构建矩阵模型,研究影响陕西省农村居住地生态环境的农民因素、生产活动和政府因素3个层次,包括周边乡镇企业废物排放、农用投入品的使用、畜禽养殖业废物排放、人均消费支出、农村人均家庭纯收入、农村家庭恩格尔系数、环保意识、政府监管力度、环境保护财政支出,相关政策法规等10个因素所占权重,得到不同因素的重要性排序。[结果]乡镇企业废物排放、农用投入品的使用、农村人均家庭纯收入和农村人均消费支出是影响农村居住地生态环境的主要因素,且重要性排序为乡镇企业废物排放农用投入品的使用农村人均家庭纯收入农村人均消费支出。[结论]加强乡镇企业废物排放管理和农用投入品的生产和使用审查,降低不必要的消费支出,同时为农民提供更多的就业机会,提高人均家庭村收入,是目前改善农村居住地生态环境的有效措施,为农民提供一个安全舒适的居住场所,这也将有利于农村经济的可持续发展。     

公民参与网络反腐的意愿及影响因素研究——基于武汉市调研数据的分析

文章运用Logistic回归模型,基于武汉市调研数据,从实践角度透视和思考公民参与网络反腐的意愿及影响因素。研究发现,大部分接受调研公民参与网络反腐的意愿较高;政府信任对公民参与网络反腐意愿的负向影响非常显著;年龄的负向影响比较显著;月收入的正向影响一般显著;性别、受教育程度和单位类别对其参与意愿的影响不显著。     

市场化程度对花卉产业组织影响实证分析

以刘易斯市场规模分析框架为基础,采用2008—2014年中国各省区市花卉产业的面板数据,对市场化进程与花卉产业组织的关系进行实证分析,结果表明:市场化程度对企业数量、小企业数量和小企业比例具有正向影响作用,市场化是促进花卉产业组织演化的重要因素,有利于优化花卉产业组织的规模和结构。因此,政府应该从市场组织与制度完善角度维护好市场竞争秩序,企业应该提升核心竞争力而不是简单扩大规模。     

新冠疫情对我国中小企业经济状况的影响及对策分析

2020年以来,新冠疫情对我国中小企业的影响巨大。论文从收入、成本、现金流三个方面分析了疫情下我国中小企业的现状及可采取的对策,以期助力中小企业渡过难关。     

农业企业采纳大数据技术影响因素研究——基于ISM模型的实证分析

为提升大数据技术在农业领域的应用深度与广度,进一步挖掘农业数据资源,推动农业供给侧改革。基于189份农业企业调研数据,运用ISM模型,分析了农业企业采纳大数据技术影响因素及其关联关系与递阶层次结构。提出加大技术的研发力度,提高核心设备和技术的自主知识产权水平,加强大数据技术产业协作,培养企业数据管理意识与大数据技术型人才,加强大数据技术公共示范工程的宣传作用等对策建议。