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1.
以江西省宜春市"月都花溪谷"乡村森林旅游项目规划中哲学元素的应用为个案,结合哲学理论进行分析。结果表明:乡村森林旅游项目规划应有哲学的自觉,根据项目所在地自然和人文资源禀赋,因地制宜地吸收哲学元素,从而打破乡村森林旅游项目同质化和见物不见人的困局,赋予乡村森林旅游项目以特色和灵魂。因此,提出突破森林旅游项目规划中一元化的经济思维定势、以哲学思维唤起人学意义、因地制宜激发内生式哲学文化活性等启发性建议。 相似文献
2.
基于动态能力理论和权变理论,以IT-业务融合、双元环境为调节变量,探究大数据能力与企业创新绩效间的作用关系,结果发现:大数据能力对创新绩效具有正向促进作用;IT-业务融合调节大数据能力与创新绩效的关系,IT-业务融合水平越高,大数据能力对创新绩效的正向影响就越显著;双元环境能够调节大数据能力与创新绩效间关系。其中,环境动态性在大数据能力与创新绩效关系间起正U型调节作用,而环境竞争性在大数据能力与创新绩效关系间起倒U型调节作用。从内外部情境视角解释大数据能力的创新转化,对中国企业大数据应用具有指导意义。 相似文献
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原始性创新是企业获得核心竞争力的关键,但当前对企业如何获得原始性创新的研究严重不足。为此,以我国环渤海经济带179家高技术企业为样本,从组织遗忘和即兴角度研究原始性创新形成问题,并进一步分析环境动态性在组织遗忘和原始性创新间的作用。结果发现:组织遗忘和组织即兴对原始性创新具有积极效应;组织即兴在组织遗忘和原始性创新间发挥着部分中介作用;环境动态性对组织遗忘和原始性创新的关系具有正向调节效应。 相似文献
5.
转型期中国,地方国有企业作为地区经济发展的一股中坚力量,当其发生债务违约时,作为实际控制人的地方政府究竟是否愿意提供支持,会优先选择哪些企业提供支持,政府的支持行为是否会影响到信贷资源的配置效率呢?为得到验证,文章选取2007-2016年沪深A股地方国有上市企业作为研究样本,实证分析了地方国企发生债务违约后,地方政府的支持行为及其对信贷资源配置效率的影响。研究结论表明:第一,地方国企发生债务违约后,地方政府会提供更多的"支持",且支持额度与债务违约额呈显著正相关关系;第二,债务违约前,承担了更多社会责任(环保投资、捐赠以及就业等)的地方国企,在债务违约后可相应地获得更多的地方政府支持;第三,违约企业,尤其是得到更多政府支持的违约企业可获得更多的信贷资源,而其经营业绩却往往更差。由此表明政府干预一定程度上降低了信贷资源配置效率。 相似文献
6.
《The British Accounting Review》2018,50(1):32-47
This study attempts to broaden our understanding of the value relevance of environmental performance by providing empirical evidence on the moderating role of financial environmental reporting. Previous studies find that firms' environmental performance can be both positively and negatively associated with market value. Such contradictory findings can be attributed to the fact that environmental performance is associated with future economic benefits and costs. This study suggests that firms with recognized environmental provisions on their balance sheets enable investors to disentangle these opposite effects either by signaling strong future financial performance or by enhancing the reliability of environmental performance information. Regardless of the mechanism by which this moderation effect is invoked, it is hypothesized that capital market participants place a positive and significantly higher value on the environmental performance ratings of firms with recognized environmental provisions than on the ratings of firms without environmental provisions. Utilizing a sample of 692 firm-year observations of French listed firms and employing a linear price-level model that associates the market value of a firm's equity with its environmental performance, I provide empirical evidence to corroborate this thesis. In addition to contributing to the academic debate on the market valuation implications of environmental performance, this study intends to provide useful insights from a country that can be considered a pioneer of environmental reporting legislation; hence, it provides valuable lessons for other jurisdictions that are in the process of developing their sustainability reporting regulations. Finally, the findings of this study support the calls for more integrated reporting showing that the interaction of financial and non-financial information has market valuation implications. 相似文献
7.
Nowadays, interest in corporate environmental strategies shifts from cleaner processes to the holistic nature of green products. The relevant literature argues that firms have the opportunity to pioneer through green product innovation, allowing them to differentiate and thus gain competitive advantage. Environmental burden of products during their entire life cycle is undeniable. Due to the weakness of the existing literature that inadequately addresses a commonly accepted green product definition, as well as the thereby caused inconclusive academic empirical results on firms' competitiveness, there are many cases of businesses greenwashing behavior. The overall contribution of this exploratory paper, on determining and evaluating the degree of greenness of a product, is twofold; first, starting with a systematic literature review, authors further contribute by proposing an integrative definition that addresses the so far existing terminological gap. Next, after reviewing the existing environmental assessment tools, authors based on the developed definition and in accordance to its dynamic dimension contribute to the existing methodology, as the paper reveals issues that need to be considered in the evaluation of green products. 相似文献
8.
研究目的:基于中国旅游景区功能演变、用地特征及问题分析,构建旅游景区用地分类体系,以期为旅游景区用地纳入区域土地利用提供理论基础,为旅游景区规划的深度编制提供实践依据。研究方法:通过调研和问卷厘清现状景区用地情况,对比借鉴相关用地分类体系,基于此构建旅游景区用地分类方案。研究结果:分析并阐明了旅游景区的功能演变、用地特征和现状问题,构建了2大类、9中类、28小类的景区用地分类体系,并与《土地利用现状分类》进行衔接。研究结论:建立可衔接且具可操作性的旅游景区用地分类体系,是实现旅游景区健康可持续发展与用地规范化管控的关键。 相似文献
9.
Cristina Maxim 《旅游业当前问题》2019,22(9):1006-1024
World tourism cities perform multiple functions and exhibit various characteristics that influence tourism development within their boundaries. They are the main gateway for tourists visiting a country and their success has a direct impact on the visitor economy of that destination. London, the focus of this research, has been one of the world’s top tourism cities for many years, and a key gateway for domestic and international visitors. But despite the important role tourism plays in the economy of the city, there is limited research on the development of this activity in the capital. Using London as an exploratory case study, this paper contributes to better understanding the challenges faced by policy makers when planning and managing tourism in world cities. The adopted research method offers the advantage of gathering insightful information using multiple data collection techniques. Examining this new evidence contributes to expanding the knowledge on the particularities of tourism development in one of the top world cities, which could help policy makers in their efforts to better prepare for potential challenges faced by these complex but important destinations. 相似文献
10.
In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together. 相似文献