新基建发展对产业升级的影响机制研究

新基建作为现代化基础设施体系的重要组成部分，已经成为中国经济高质量发展的重要支撑。基于2015—2021年中国71个城市的面板数据，构建双向固定效应、中介效应和调节效应三种回归模型，实证检验新基建发展对城市产业结构水平的影响及内在机制。研究发现：新基建发展能促进产业高级化水平，改善不合理的产业结构状态，提升产业合理化水平；新基建通过发展物联网和激励城市研发创新两种间接路径对产业结构转型升级产生积极影响；新基建对产业结构水平的影响受到地方政府干预行为的调节作用，在地方政府合理的行政管理下，新基建对产业转型升级的积极作用更为明显；新基建发展对产业结构水平的提升作用具有区域异质性和城市规模异质性，在中西部地区和大城市地区的作用效果更为明显。     

产业集聚、市场集中对区域创新能力的作用——基于京津冀、长三角两大经济圈制造业的比较

产业集聚和市场集中是影响区域创新能力的重要因素。本文考察了京津冀、长三角两大经济圈制造业产业集聚与市场集中对区域技术创新能力的作用。实证分析结果表明：两大经济圈制造业集聚与市场集中均在一定程度上促进了区域创新能力的提升，但由于两大区域体制机制条件、创新环境、产业组织形态等不同，制造业产业集聚影响区域技术创新的程度、特征与路径也存在一定差别。两大经济圈应采取差异化集群发展方式，加快推进制造业集群升级，特别是应抢抓第四次工业革命发展机遇，提升制造业智能化水平，提升区域创新能力水平。     

京津冀生态涵养区生态与产业协调发展影响因素分析

[目的]京津冀协同发展国家重大战略将冀北地区的发展确定为承担生态保障与水源涵养功能,文章基于长期以来该区域生态脆弱、经济落后的特征,研究了该生态涵养区生态与产业协调发展的影响因素,目的是为该区域生态建设与产业经济协调发展提供参考。[方法]设置了影响生态建设与产业经济协调发展的规模因素、经济因素、社会因素与政策因素四大类37个影响因素,借助于统计数据,在对数据进行标准化处理的基础上,应用计量经济模型,通过因子分析法将各个因素进行分类归纳为5个公因子,利用SPSS软件回归模拟结果显示各个因素对生态建设与产业经济协调发展的影响作用。[结果]将四大类通过因子分析法的主成分分析,应用计量经济模型模拟,拟合优度较高,影响因素通过分组具有较强的解释力,结果能够很好地反映这些影响因素对生态建设与产业经济协调发展的影响方向与影响程度。[结论]依据定性分析假设与计量模拟分析结果,针对存在的问题与发展机遇,提出对策建议:继续加强生态建设项目的推进、适度扩大产业经营规模、加大生态建设与产业发展投资力度、实施资源节约型生产创新模式以及健全和完善生态与经济协调发展制度。     

Alternative balanced scorecards built from paradigm models in strategic HRM and employment/industrial relations and used to measure the state of employment relations and HR system performance across U.S. workplaces

This paper constructs alternative balanced scorecards based on high‐performance work system (HPWS) and employment relations system (ERS) models. The models are depicted and compared in diagrams and used as framework skeletons for building separate HPWS and ERS scorecards, intended to provide a detailed data picture of the operational health and performance of an organization's employment/HR system and its operations, processes, and inputs/outputs. The scorecards are filled in with nationally representative data from 2,000+ U.S. workplaces using more than 50 employment/HR indicators, as reported by separate panels of managers and employees. The indicators for each workplace are aggregated into an overall HR/employment system score, ranked from low‐to‐high, and graphed as frequency distributions. These distributions provide a unique snapshot picture of the mean and dispersion of the state of employment relations and HR system performance for companies across the United State. They also reveal that “models matter” since the HPWS and ERS scorecards provide distinctly different evaluation assessments.     

网络直播购物情境下的拟剧化营销——基于抖音直播平台的分析与诠释

网络直播购物逐渐成为一种新的网络营销与消费方式。对于该模式的剖析,有助于对网络直播购物这一新兴事物进行全景化的解构与阐释,更好地理解与把握该模式的本质与趋势。本文基于第三方立场与视角,以戈夫曼拟剧理论为基础,锚定抖音平台为实践场景,尝试诠释拟剧理论在网络直播购物情境中的新变化、新形式、新内涵。研究选择Top100网络直播主播为分析对象,采用后台运营数据、页面数据爬虫、人工观察分析等多元数据采集与分析方法,对整个网络直播购物场景进行分析。研究发现,网络直播购物呈现出鲜明的拟剧化营销特质,各类要素间存在循环强化的运行机理,消费者的购物行为有着显著的集体偏好,且主体间的协同合作机制促进了消费的延续。该发现有助于对拟剧化营销运行机制、拟剧理论的新场景及网络直播购物这一新兴商业模式进行客观辩证的思考。     

The role of influencer–follower congruence in the relationship between influencer marketing and purchase behaviour

Over the last decade, influencer marketing has become one of the most important tools for companies and brands to increase awareness, sales, or image strength. Since consumers prefer brands and companies whose image is congruent with their actual or ideal self, we could expect that consumers tend to prefer influencers whom they can compare themselves with. Therefore, congruence between consumer and influencer is imperative in influencer marketing and may indicate whether the influencer will be able to promote products to the target audience in an appealing way. Using a quantitative empirical study, we surveyed more than 7500 individuals measuring how they perceive a specific influencer's credibility, content usefulness, congruence, and purchase behaviour. The results suggest that if there is a congruence between an influencer and the follower, the impact of the influencer's experience and its content usefulness on purchase behaviour is stronger.     

Sensory Aspects of Retailing: Theoretical and Practical Implications

Sensory elements are an important aspect of both offline and online retail stores and can non-consciously influence consumer judgments and purchase behavior. In offline settings, ambient factors like scent, lighting, and music have been shown to influence customers’ shopping experiences and their buying behaviors. For online retail outlets, sensory factors related to color, display patterns, and layouts can have significant effects on consumer behavior. Sensory elements have strong managerial relevance since they can non-consciously influence behaviors and because they are relatively easy to change; for example, it requires minimal effort to change the lighting or the music at a physical retail store or the display pattern for an online store. The eight papers in this special issue address theoretical and practical issues related to how different sensory elements can strongly influence retail practices. These papers focus on underexplored topic areas and also on emerging technologies, which stimulate thoughts for further research in these areas.     

Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

We Eat First with Our (Digital) Eyes: Enhancing Mental Simulation of Eating Experiences via Visual-Enabling Technologies

This research examines how consumers’ intentions to purchase food change depending on the visualisation mode (3D vs. AR) and product format (served vs. packaged). In three studies, we demonstrate that mental simulation of eating experiences (process and outcome) mediate these effects. Study 1 shows that AR visualisation of a served food improves simulation of the eating process over 3D visualisation, with a positive effect on purchase intention. Study 2 reveals that 3D visualisation improves purchase intention for packaged products (high instrumental properties) over served products (low instrumental properties) while the opposite is true for AR visualisation. In addition, interactivity and immersion mediate the effects of 3D (vs. AR) on mental simulation of the eating process for packaged products. Study 3 extends these results by showing that 3D increases purchase intention by eliciting mental simulation of the eating outcome, when the food is visible due to transparent (vs. opaque) packaging (displaying both sensory and instrumental properties), but that no such differences emerge for AR. This research highlights the importance of using different visualisation modes to promote food depending on the product format. The findings have important implications for both offline and online retailers.