Protective Measures for Space Environment of Time-honored Brands——With Xi'an City as a Study Case

Based on the field survey and analysis of representative traditional time-honored shops in Xi'an City,specific measures for protecting their space environment were put forward,and the sustainable preservation and development pattern of such intangible cultural heritages in the future urban development was established.

企业家精神、新质生产力与区域经济高质量发展--来自老字号的新证据

企业家精神为新时代理解经济高质量发展提供了一个崭新的视角。基于2010-2022年山东地级面板数据,选取山东各地区每百万人拥有省级老字号的数量来衡量区域企业家精神,运用双维固定模型,实证考察企业家精神对区域经济高质量发展的影响效应。研究发现,企业家精神显著提升了区域经济高质量发展,此结论经过系列稳定性检验后依然成立。中介机制检验发现,对于构成新质生产力的三个核心要素,企业家精神不仅能够增加新型劳动者供给、拓展新型劳动资料提质、促成新型劳动对象发展,同时也能促进三要素优化组合的新质生产力发展,进而实现区域质量变革、效率提升、动力转换,推动经济实现质的有效提升和量的合理增长。异质性检验表明,企业家精神对经济高质量发展的促进作用主要体现在商业化历史中心城市。进一步研究发现,在商业化历史中心城市,数字普惠金融对企业家的激励作用更强。结论为区域高质量发展提供了新的理论视角和经验证据。因此,在出台培育蕴藏丰富企业家精神的老字号政策措施的同时,各地应因地制宜加快发展新质生产力,为全面建成社会主义现代化强国增添助力。

Photodissociation Dynamics of 2-1odotoluene Investigated by Femtosecond Time-Resolved Mass Spectrometry

The photodissociation dynamics of 2-iodotoluene following excitation at 266 nm have been investigated employing femtosecond time-resolved mass spectrometry. The photofragments are detected by multiphoton ionization using an intense laser field centered at 800 nm. A dissociation time of 3804-50 fs was measured from the rising time of the co-fragments of toluene radical （C7H7） and iodine atom （I）, which is attributed to the averaged time needed for the C-I bond breaking for the simultaneously excited nσ and ππ＊ states by 266 nm pump light. In addition, a probe light centered at 298.23 nm corresponding to resonance wavelength of ground-state iodine atom is used to selectively ionize ground-state iodine atoms generated from the dissociation of initially populated hσ＊ and ππ＊ states. And a rise time of 4004-50 fs is extracted from the fitting of time-dependent I＋ transient, which is in agreement with the dissociation time obtained by multiphoton ionization with 800 nm, suggesting that the main dissociative products are ground-state iodine atoms.

Impact of time lags on diurnal estimates of canopy transpiration and canopy conductance from sap-flow measurements of Populus cathayana in the Qinghai–Tibetan Plateau

Recently, canopy transpiration （Ec） has been often estimated by xylem sap-flow measurements. However, there is a significant time lag between sap flow measured at the base of the stem and canopy transpiration due to the capacitive exchange between the transpiration stream and stem water storage. Significant errors will be introduced in canopy conductance （gc） and canopy transpiration estimation if the time lag is neglected. In this study, a cross-correlation analysis was used to quantify the time lag, and the sap flowbased transpiration was measured to pararneterize Jarvistype models of gc and thus to simulate Ec of Populus cathayana using the Penman-Monteith equation. The results indicate that solar radiation （Rs） and vapor pressure deficit （VPD） are not fully coincident with sap flow and have an obvious lag effect; the sap flow lags behind Rs and precedes VPD, and there is a 1-h time shift between Eo and sap flow in the 30-min interval data set. A parameterized Jarvis-type gc model is suitable to predict P. cathayana transpiration and explains more than 80% of the variation observed in go, and the relative error was less than 25%, which shows a preferable simulation effect. The root mean square error （RMSEs） between the predicted and measured Ec were 1.91×10^-3 （with the time lag） and 3.12×10^-3cm h^-1 （without the time lag）. More importantly, Ec simulation precision that incorporates time lag is improved by 6% compared to the results without the time lag, with the mean relative error （MRE） of only 8.32% and the mean absolute error （MAE） of 1.48 × 10^-3 cm h^-1.

Real-time crash prediction on freeways using data mining and emerging techniques

Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with traffic data collected by discrete loop detectors as well as the web-crawl weather data. Matched case-control method and support vector machines （SVMs） technique were employed to identify the risk status. The adaptive synthetic over-sampling technique was applied to solve the imbalanced dataset issues. Random forest technique was applied to select the contributing factors and avoid the over-fitting issues. The results indicate that the SVMs classifier could successfully classify 76.32% of the crashes on the test dataset and 87.52% of the crashes on the overall dataset, which were relatively satisfactory compared with the results of the previous studies. Compared with the SVMs classifier without the data, the SVMs classifier with the web-crawl weather data increased the crash prediction accuracy by 1.32% and decreased the false alarm rate by 1.72%, showing the potential value of the massive web weather data. Mean impact value method was employed to evaluate the variable effects, and the results are identical with the results of most of previous studies. The emerging technique based on the discrete traffic data and web weather data proves to be more applicable on real- time safety management on freeways.

A Numerical Algorithm Based on Quadratic Finite Element for Two-Dimensional Nonlinear Time Fractional Thermal Diffusion Model

In this article,a high-order scheme,which is formulated by combining the quadratic finite element method in space with a second-order time discrete scheme,is developed for looking for the numerical solution of a two-dimensional nonlinear time fractional thermal diffusion model.The time Caputo fractional derivative is approximated by using the L2-1formula,the first-order derivative and nonlinear term are discretized by some second-order approximation formulas,and the quadratic finite element is used to approximate the spatial direction.The error accuracy O(h3+
t2)is obtained,which is verified by the numerical results.

Suppressive Influence of Time- Space White Noise on the Explosion of Solutions of Stochastic Fokker- Planck Delay Differential Equations

It is generally known that the solutions of deterministic and stochastic differential equations （SDEs） usually grow linearly at such a rate that they may become unbounded after a small lapse of time and may eventually blow up or explode in finite time. If the drift and diffusion functions are globally Lipschitz, linear growth may still be experienced, as well as a possible blow-up of solutions in finite time. In this paper, a nonlinear scalar delay differential equation with a constant time lag is perturbed by a multiplicative Ito-type time - space white noise to form a stochastic Fokker-Planck delay differential equation. It is established that no explosion is possible in the presence of any intrinsically slow time - space white noise of Ito - type as manifested in the resulting stochastic Fokker- Planck delay differential equation. Time - space white noise has a role to play since the solution of the classical nonlinear equation without it still exhibits explosion.

数字媒体时代“老字号”国货品牌包装创新设计研究--以“蜂花”品牌为例

数字媒体时代“老字号”国货品牌应被赋予新的时空内容,亟待重新识别,“蜂花”老字号就是其中的典型案例之一。“蜂花”品牌产品在科技创新、时代进步中面临诸多问题,如:品牌创新设计、数字媒体时代人们的消费心理、产品设计理念和设计方法等。改造和推动符合时代特征及消费心理需求的“老字号”品牌包装,引导新时代“老字号”国货品牌的视觉消费文化,才能更好体现新时代的文化自信。

文旅融合视野下城市文化符号提升老字号文化--以武汉老字号“汉棉”为例

在文旅融合视野下,探讨城市文化符号在老字号文化创新设计中的积极作用,明晰老字号文化创意设计与城市文化符号结合的优势与价值。通过对城市文化符号提升老字号文化创新的现状分析,研究中国老字号“城市礼物”优秀设计案例,总结城市文化、品牌个性和推广模式3个方面的创新设计思路。挖掘具有标志性与代表性的城市文化元素,进行符号化转译,运用于老字号“城市礼物”设计实践中,为老字号文化创新发展提供全新思路。

老字号求新求变中的战略转型研究——基于组织注意力和资源编排视角

面对年轻品牌冲击,转型与变革是老字号摆脱“生死线”的重要手段,传承与创新是老字号发展的关键。通过采用探索性单案例的研究方法,基于北京同升和鞋业有限责任公司从1978年至2022年的发展历程,探讨老字号如何凭借组织注意力和资源编排完成转型过程,实现求新求变目标。研究发现,老字号在战略转型过程中会经历“转型准备—转型实施—转型整合”三个阶段,具体表现为:(1)战略转型准备基于组织注意力情境化条件感知、组织注意力有效配置以及组织注意力选择,三者协同配合识别影响转型的关键要素;(2)战略转型实施通过资源结构化、资源捆绑以及资源利用完成,落实组织注意力选择的结果;(3)战略转型整合通过商业模式或经营领域的调整完成,呈现战略决策。

老字号品牌包装设计研究--以“采芝斋”为例

老字号品牌在当代社会发展中,具有地域性文化、历史悠久的品牌优势,但也有众多弊端,如在包装设计中地域文化欠缺、包装易同质化、缺乏个性、品牌形象老旧等问题,无法应对当代的品牌包装发展趋势,促进老字号品牌的宣传与推广。本文旨在分析老字号品牌的包装在文化内涵以及品牌背景中的独特优势,同时针对老字号品牌包装的各类弊端,以“采芝斋”老字号品牌为例分析研究,促进老字号品牌在包装上的创新,提高包装设计的形式与内容,打破老字号品牌包装宣传与销售渠道,探究老字号品牌在包装设计上新的创新形式。

旅游者传统文化价值观会影响城市老字号餐厅的就餐意向吗?——基于VBN理论的结构化测度

老字号餐厅是城市重要的旅游资源和旅游吸引物。本文从旅游者视角出发,基于VBN理论框架,探讨了价值观、结果意识、责任归属、个人规范、主观规范、品牌信任、就餐意向七个变量之间的结构关系。对旅游者进行问卷调查和半结构化访谈,运用定量和定性相结合的方法对数据进行处理分析。结果表明,传统价值观正向影响旅游者信念(包括结果意识和责任归属),并最终通过个人规范作用于就餐意向;个人规范、主观规范、品牌信任均对旅游者老字号就餐意向有正向影响。该研究结果有助于从价值观角度揭示旅游者餐饮消费行为规律,为城市老字号餐厅经营者提供有效的营销策略。

营商环境对老字号振兴的组态影响研究——基于清晰集定性比较分析

按照“遵循主流指标、尊重行业特色”原则,以政策资源、文旅支持、社会组织、新媒体、技术知识、人才资源、人口分布和经济指标为维度,利用清晰集定性比较分析方法,构建和比较老字号振兴的营商环境组态。研究发现:单个营商环境要素并非构成引致老字号振兴的必要条件;四种营商环境组态引致老字号振兴工程第一阶段经济效益层面的振兴,包括以人为核心的科技创新型、科技助力下的文旅驱动型、政策资源主导下的技术驱动和人口分布型、科技创新缺失下的社会组织驱动型四种组态;在老字号振兴工程完整阶段,引致经济效益层面振兴的营商环境组态包括政府主导逻辑、市场主导逻辑两种形式,引致品牌影响力层面振兴的营商环境组态包括市场经济主导下文旅支持和技术知识联合驱动型、人口分布主导下新媒体驱动型两种形式。另外,两阶段差异和振兴效果差异的进一步比较与分析表明,省域老字号营商环境组态与制度机会窗口的匹配程度在各阶段均显著影响经济效益层面振兴的效果;老字号营商环境组态实现从以外生性助力为主导向外生性助力与内生性成长动力协同作用发展的重要逻辑变迁;省域经济发展水平在完整振兴阶段中成为契合老字号外生性助力与内生性成长动力的重点;技术知识在品牌影响力层面振兴中的作用突出。

老字号食品企业商业模式创新的形成机理研究

老字号创新是学界和业界关注的热点问题。采用资源编排理论分析成功的老字号食品企业商业模式创新的形成机理,有助于系统解析其创新发展的规律。选取北京稻香村和天津桂发祥两家典型老字号食品企业开展双案例研究,研究发现:企业家精神是推动老字号食品企业商业模式创新的根本动因,并调节其他动因对商业模式创新的作用效果;老字号食品企业商业模式创新过程中实施以老字号内核资源为核心的资源编排策略;老字号食品企业商业模式创新表现为传承与创新有机结合的多模块组合。

文化视角下的企业跨国营销传播策略

成功的跨国营销传播,对出口企业而言可促进销售、带来盈利、提升企业形象,对出口企业所在国而言,提升文化软实力。采用文献研究法和个案分析法,侧重从文化视角出发,结合近年来的企业跨国营销传播案例,探讨我国企业跨国营销传播的策略。研究认为,在文化视角下,我国企业要有效地进行跨国营销传播,宜采取如下策略:在传播主体方面,可利用中华优秀传统文化为己赋能;在传播客体方面,应尊重目标国尤其是目标消费群体的文化;在传播信息方面,需考虑受众解码特点进行语言与非语言符号编码;在传播渠道方面,要遵循传播规律制订媒体组合及排期计划。

老字号品牌文化记忆的叙事性视觉再生设计研究

在当今社会,消费结构和理念正在经历深刻变革,老字号品牌文化记忆因未被转化为可满足现代传播需求的形式,亟需有效激活其再生价值并提升品牌效应。深入分析老字号品牌文化记忆内涵及当代传承状况,探究叙事性视觉再生设计方法体系和当代叙事性传播模式,提出将老字号品牌的文化记忆与叙事性视觉设计相结合的创新理念。进一步探索品牌年轻化、数字化、多维化的视觉再生设计策略,为老字号品牌的复兴和形象升级提供切实可行的设计思路。

数字化转型助力津门老字号企业品牌发展研究

数字经济改变着人们的生活与工作方式,历史底蕴和文化价值深厚的老字号品牌如何在数字经济时代传承创新、改革发展已成为研究热点。基于2011—2021年天津老字号企业面板数据,构建时间、个体双向固定效应模型和中介效应模型,探究企业数字化转型对品牌竞争力的影响及其作用机制。结果表明,老字号企业数字化转型能够显著提升品牌竞争力,企业创新水平对数字化转型提升品牌竞争力具有中介作用。基于此,对老字号企业转型发展提出相关对策建议,促进老字号企业利用数字化转型推动品牌发展,提升竞争力。

陕西省老字号餐饮企业数字化转型发展路径研究

随着数字技术的不断发展,将老字号餐饮企业的发展与数字化转型相融合成为其做大做强的切入口。老字号餐饮企业是展现陕西省历史文化传承的重要组成部分,从陕西省老字号餐饮企业的发展现状来看,老字号餐饮企业数量少,且有减少趋势,经营产品种类较为单一,缺乏创新,老字号餐饮企业正加大数字化转型力度,迎合时代发展需要。陕西省老字号餐饮企业有必要进行数字化转型,扩大经营范围,拓展消费群体,促进产品种类的创新,提高消费者的满意度。为进一步促进陕西省老字号餐饮企业实现数字化转型,政府应加大对老字号餐饮企业的商业保护,为其提供政策扶持。企业应积极丰富产品线,拓展餐饮研学、文化体验、草坪经济、露营经济、线上线下外卖等创新领域,加快数字化转型。同时,企业应通过注册短视频平台账号等加强对外宣传,做好宣传管理工作。

新媒体时代“老字号”品牌活化策略研究

基于对新媒体环境下老字号企业面临的困境分析,本文从不同角度阐述了一些成功的品牌活化实践,包括加强数字营销、强化品牌感知、增强用户体验等,旨在帮助企业更好地适应市场需求,实现商业发展。本文通过研究新媒体时代老字号品牌传播对受众品牌态度和品牌感知的影响发现,老字号品牌传播对受众品牌态度和感知都具有积极影响,受众品牌人格感知也对受众品牌态度产生了重要影响。最后,本文提出综合运用多种形式与消费者有效交流、准确定位新媒体平台并制定有效传播、开展差异化竞争突出品牌个性等策略,有助于提升老字号品牌在新媒体时代的传播效果,实现品牌活化。