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智慧旅游外文翻译文献编辑

智慧旅游外文翻译文献编辑
智慧旅游外文翻译文献编辑

文献信息:

文献标题:Conceptual foundations for understanding smart tourism ecosystems(理解智慧旅游生态系统的概念基础)

国外作者:Ulrike Gretzel, Hannes Werthner, Chulmo Koo, Carlos Lamsfus 文献出处:《Computers in Human Behavior》,2015,50(C):558-563

字数统计:英文2250单词,13270字符;中文4336汉字

外文文献:

Conceptual foundations for understanding smart tourism

ecosystems

Abstract Using digital ecosystems and smart business networks as conceptual building blocks, this paper defines, describes and illustrates the idea of a smart tourism ecosystem (STE). It further draws on conceptualizations of smart technologies, smart cities and smart tourism to envision new ways in which value is created, exchanged and consumed in the STE. Technologies essential to the functioning of an STE are described and it is argued that data emerging from these technologies are the driver for new business models, interaction paradigms and even new species. Critical questions regarding the need for regulatory intervention and innovative research are raised.

Key words:Smart tourism; Value creation; Smart technologies; Open innovation; Sharing economy; Tourism experience

Touristic Ecosystem

Ecosystems are generally defined as communities of interacting organisms and their environments (TheFreeDictionary, 2015), and are typically described as complex networks formed because of resource interdependencies. McCormack (2011) explains that ecosystems, like other kinds of systems, are comprised of elements,

interconnections and a function/purpose, but are special types of systems in that their elements are intelligent, autonomous, adaptive agents that often form communities and also because of the way they adapt to elements being added or removed. Boley and Chang (2007) list four critical elements of ecosystems: (1) interaction/engagement; (2) balance; (3) loosely coupled actors with shared goals; and, (4) self-organization. This means that in ecosystems individual agents or groups of agents proactively form symbiotic relationships to increase individual benefits and to achieve shared goals; that local interactions determine the global behavior or state of the system; and, that balance is needed to prevent system collapse. The relationships and interdependencies ensure that resources are consumed effectively and sustainably. Considering ecosystems in their entirety rather than centering on specific actors/elements allows for more holistic perspectives, recognizes that small changes can have substantial effects, encourages a focus on complex relationships, emphasizes dynamic change, and acknowledges the importance of the physical environment or infrastructure that supports the system.

Applied to the business world, the term ‘‘ecosystem’’ is used to describe the relationships among economic entities (producers, distributors, consumers, government agencies, etc.) that, through competition and/or cooperation, facilitate the creation and distribution of a product or service (Investopedia, 2015). There isa general understanding that the environment in which these entities operate, i.e. in and through which they produce, exchange and consume value, is rapidly changing and requires their relationships to co-evolve. Moore (1993) stressed that such an economic community often faces the arrival of new species, which requires realignment and redefinition of the relationshipsthatunderpin the system. While such new species can emerge out of nowhere through genetic mutations, it is more often the environmental changes that cause or at least facilitate dramatic shifts in power over resources.

The idea of a touristic ecosystem is nothing new as the production of these touristic experiences has always required extensive coordination and collaboration among different industry players and government agencies (Mill & Morrison, 2002). How loosely coupled these agents typically are can be exemplified by the difficulty in

defining what players actually belong to the tourism industry and in measuring the economic value contributed by tourism. The extensive reliance on digital infrastructure of such tourism systems has also been long acknowledged(Sheldon,1997). The both disruptive and creative power of technological innovation within tourism ecosystems has been discussed for both Web 1.0 (Werthner & Klein, 1999) and Web 2.0 (Benckendorff, Sheldon, & Fesenmaier, 2014). Information and communication technologies have been essential in tourism ecosystems for connecting the different players that add value to the experience. Werthner and Klein (1999) illustrated the fundamental technology-supported tourism value chain and its components (Fig. 1), with the Internet making it possible to completely circumvent traditional distribution channels.

Fig. 1. The tourism system as a technology-supported value chain (Werthner & Klein, 1999).

A special characteristic of a tourism ecosystem is the immense number of microorganisms (small or micro, often family owned and/or owner operated businesses). It is also often geographically defined but usually requires connections and interactions beyond the core area. Indeed,theterm ‘‘destination’’ pract ically refersto a tourism-based ecosystem. Destinations overlap with other ecosystems (e.g.

residential) and have connections to their feeder markets. Further, tourism businesses are often embedded incomplex franchise systems or chains and tourism distribution channels involve a multitude of actors residing at the destination, the origin markets or somewhere completely different, which can make it difficult to delineate the system boundaries. Tourism ecosystems are also especially dynamic and on a global scale have witnessed the emergence of several completely new species within just the last ten years, with online travel agencies such as https://www.doczj.com/doc/4a10955277.html, and Expedia, Google Flights, TripAdvisor (Sigala, 2015) and AirBnB being prominent examples. Changes are also occurring on the consumer side as new technologies change consumer behaviors, increase market transparency and facilitate social commerce. Tourism consumers have always been recognized as active contributors to the experience but are now formally conceptualized as value co-creators within tourism ecosystems (Vargo & Lusch, 2008). As such, Fig. 1 clearly shows a past generic tourism ecosystem based on the technology landscape at the turn of the millennium and it becomes very clear that it fails to mirror the complexities, nuances and blurred lines of contemporary tourism systems.

Smart City

‘‘Smart’’ is often applied as a pre fix to technological terms to indicate special capabilities, intelligence and/or connectivity, as in smart phone or smart card. Derzko (2006) identifies six aspects or levels of smartness for technology: (1) Adapting: modifying behavior to fit the environment; (2) Sensing: bringing awareness to everyday things;(3)Inferring: drawing conclusions from rules and observations;(4)Learning: using experience to improve performance;(5)Anticipating: thinking and reasoning about what to do next;(6)Self-organizing: self-generating and self-sustaining at the cellular or nano-technology level.

Smart is increasingly also used to signify resource optimization through the use of advanced technologies (Gretzel, Koo, Sigala & Xiang, 2015b). H?jer and Wangel (2015) argue that it is notso much the individual technological advances but rather the interconnection, synchronization and concerted use of different technologies that

constitutes smartness. The concept has been prominently applied to urban areas and summarized under the term ‘‘smart cities’’. A smart city then is a city that uses advanced information and communication technology (ICT) to optimize resource production and consumption.

Piro et al. (2014:169) defi ne smart city as ‘‘an urban environment which, supported by pervasive ICT systems, is able to offer advanced and innovative services to citizens in order to improve the overall quality of their life’’. According to Harrison et al. (2010), a smart city connects its physical infrastructure with its ICT, social and business infrastructures to leverage the collective intelligence of the city. A healthy digital ecosystem that includes information-centric ICT platforms, sensor networks and wireless communication systems forms the fundamental base for such integration and data exchange (Piro et al., 2014). Properinformation dissemination is the key to smart city success. Smart cities use ICTs to collect, integrate and exploit data to allow for optimal use of physical infrastructure and other resources (Koo, Gretzel, Hunter & Chung, 2015). Sensor technology plays a critical role in delivering the real-time data and big data analytics is essential for processing, modeling and visualizing data so that it can be used to inform operational decisions. A critical component of the smart city is also support of intelligent interactions between the city and its inhabitants (Harrison et al., 2010). In the context of cities, several sub-areas or application domains of smartness have emerged, such as smart living, smart mobility, smart governance and smart economy (H?jer & Wangel, 2015). These concepts canbe directly applied to touristic destinations that often are indeed urban areas. In parts of the smart city literature tourism is actually seen as a service provided by the smart city and smart tourism is thus conceptualized as a goal for the smart city(TuandLiu,2014; Guo, Liu & Chai, 2014).

Smart Tourism Ecosystem

Smart tourism then encompasses touristic activities that are informed and supported by smart technology (Gretzel, Sigala, Xiang & Koo, 2015a). A smart tourism ecosystem (STE) consequently can be defined as a tourism system that takes

advantage of smart technology in creating, managing and delivering intelligent touristic services/experiences and is characterized by intensive information sharing and value co-creation. Collecting, processing and exchanging tourism-relevant data is a core function within the STE (Zhang, 2012). Guo et al. (2014) refer to this phenomenon as informatization of tourism as a result of smart technology integration. Rather than being a tourism business-centric ecosystem, the STE includes a variety of ‘‘species’’ such as touristic and res idential consumers, tourism suppliers, tourism intermediaries (travel operators and travel agents), support services (telecommunications, banking/payment services), platforms and media (Facebook, TripAdvisor, AirBnB, etc.), regulatory bodies and NGOs, transportation carriers, travel technology and data companies (Amadeus, Sabre, etc.), consulting services, touristic and residential infrastructure (pools, parks, museums, etc.) and companies typically assigned to other industries (medical services, retailing, etc.).

In the literature, STEs are typically thought about as smart destinations because of the conceptual roots in smart cities. Lopez de Avila (2015) defined the smart destination as ‘‘an innovative tourist destination, built on an infrastructure of state-of-the-art technology guaranteeing the sustainable development of tourist areas, accessible to everyone, which facilitates the visitor’s interaction with and integration into his or her surroundings, increases the quality of the experience at the destination, and improves residents’ quality of life.’’

Fig. 2 provides a schematic representation of an STE, although it is difficult to capture its complexity. What becomes very obvious is its stark contrast to Fig. 1 in which consumers, producers and intermediaries can be clearly distinguished and a hierarchical ‘‘food chain’’ is visible. It is also very different from previous conceptualizations of STEs (Zhu et al., 2014) that only identified tourists, attractions, government, businesses and IT infrastructure as clearly distinguishable players tapping in various ways into the information the system produces. In the STE portrayed in Fig. 2, touristic consumers (TC) have resources and because of their ability to tap into the digital ecosystem can organize among themselves or mingle with the closely related residential consumer species (RC) and act like producers (a

phenomenon often referred to as the sharing economy). Touristic and residential consumers produce data through social media activities or the use of location-based services and consume data produced by other species or the physical environment, often made palatable through mobile apps.

Fig. 2. Smart tourism ecosystem. Note: TC = touristic consumer; RC = resident consumer; TS = tourism supplier; OS = other industry supplier; DMO = Destination Marketing Organization.

Tourism suppliers (TS) or other business-focused species can connect through smart technology and create new service offerings. Data/information is the main food source for STE speciesand effectively and efficiently turning it into enriched tourismexperiences ensures longevity. Data aggregators are particularly supported by the digital ecosystem and process data to create resources of value to other species. New players such as Couchsurfing emerge, which represents a new species of a platform that supports interactions among touristic and residential consumers through reputation mechanisms and communication tools. It is also clear that the system is open, with players from other industries/ecosystems being able to tap into resources or form beneficial relationships (for instance in the case of medical tourism). Also, the roles different actors take on are fluid and might change depending on the experience or situation, with lines becoming increasingly blurred (e.g. touristic and resident

consumers marketing destinations through their social media entries, resident consumers acting as producers by renting out resources to tourists, or companies from other industries suddenly taking on core tourism services). Indeed, telecommunicationscompaniesand banking/payment support services represent suppliers from other industries (OS) and are important predators in the STE but also feed the system with critical information and offer opportunities for enhanced value creation. Government agencies play a role in the STE not only with respect to their typical tourism-related agendas but also in regards to ensuring data openness while atthe same time regulating data privacy (Buhalis & Amaranggana, 2014), although the shared-value economy proposed byPorterand Kramer (2011) hints at opportunities for STEs to be self-regulating in this respect. Traditional and non-traditionalmedia sources (e.g. bloggers) also serve as regulating agents and contribute valuable information to the STE. Destination Marketing Organizations (DMOs) fulfil traditional information brokerage, marketing and quality control functionswhileintermediaries of all kinds facilitate transactions through innovative usesofdata and devices.

It is important to recognize that an STE cannot be created but the necessary technological and regulatory foundations canbeand have to be available for the tourism ecosystem to become smart. The review of the literature has indicated that some technologies seem to be instrumental to STE success. Mobile and wireless technologies play an important role in an STE due to thehigh mobility of its consumer species (Lamsfus et al., 2015). Social media are also prominent (Xiang and Gretzel, 2010) in that consumer species are highly motivated to produce, share and consume social contents (Hunter, Chung, Gretzel & Koo, 2015). Intelligent systems are also needed to support the complex interactions in an STE which surpass human processing capacities (Gretzel, 2011) and location-based and sensor technology provide important data to make these systems context-aware (Lamsfus et al., 2013).

中文译文:

理解智慧旅游生态系统的概念基础

摘要本文以数字生态系统和智能商务网络为概念构建模块,定义、描述和阐述了智慧旅游生态系统(智慧旅游生态系统)的概念。它进一步借鉴智能技术、智慧城市和智慧旅游的概念,设想在智慧旅游生态系统中创造、交换和消费价值的新方法。本文描述了智慧旅游生态系统功能所必需的技术,并认为从这些技术中产生的数据是新业务模式、交互模式,甚至是新物种的驱动力。本文还提出了关于监管干预和创新研究的关键问题。

关键词:智慧旅游;创造价值;智能技术;开放式创新;共享经济;旅游体验

旅游生态系统

生态系统通常被定义为相互作用的有机体及其环境的群落(词库,2015),一般被描述为由于资源相互依赖而形成的复杂网络。麦考马克(2011)解释说,生态系统和其他类型的系统一样,是由元素、相互关系和功能/目的组成的,但它们是特殊类型的系统,因为其元素是智能的、自发的、自适应性的主体,也因为它们适应添加或删除的元素的方式。博利和张(2007)列出了生态系统的四个关键要素:(1)相互依赖/参与;(2)平衡;(3)具有共同目标的松散耦合的参与者;(4)自组织。这意味着在生态系统中,个体代理人或代理人群体主动形成共生关系,以增加个人利益和实现共同目标;本地交互决定了系统的全局行为或状态;此外,为了防止系统崩溃,需要平衡。这种关系和相互依赖确保了资源得到有效和可持续消费。考虑到整个生态系统,而不是以特定的行为者/元素为中心,这可以获得更全局观,认识到小的变化会产生实质性的影响,鼓励关注复杂的关系,强调动态变化,并承认支持系统的物理环境或基础设施的重要性。

应用到商业世界,“生态系统”一词被用来描述经济实体(生产者、分销商、消费者、政府机构等)之间的关系,通过竞争和/或合作,促进创造和分配产品或服务(投资百科,2015)。人们普遍认识到,这些实体所处的环境,即它们产生、交换和消费价值的环境正在迅速变化,并且需要它们的关系共同进化。摩尔

(1993)强调,这样一个经济共同体经常面临新物种的到来,这就需要重新调整和重新定义支撑该系统的关系。虽然这样的新物种可以通过基因突变而无处不在,但更常见的是环境变化导致或至少促进了资源权力的巨大转变。

旅游生态系统的概念并不是什么新鲜事物,因为这些旅游体验的生产一直需要不同行业参与者和政府机构之间的广泛协调和合作(米尔和莫里森,2002)。这些代理的松散耦合,可以通过难以界定究竟哪些参与者属于旅游业以及衡量旅游业所带来的经济价值,来加以举例说明。长期以来,这种旅游系统对数字基础设施的广泛依赖也得到了承认(谢尔登,1997)。Web1.0(维特和克莱因,1999)和Web2.0(本肯多夫、谢尔登和森迈尔,2014)讨论了旅游生态系统内技术创新的破坏性和创造力。信息和通信技术在旅游生态系统中至关重要,可以连接不同的参与者,增加经验的价值。维特和克莱因(1999)阐述了基础技术支持的旅游价值链及其组成部分(图1),互联网使其有可能完全绕开传统的分销渠道。

图1.旅游系统作为技术支持的价值链(维特和克莱因,1999)旅游生态系统的一个特点就是大量的微生物(小型或微型的,通常是家族拥有和/或业主经营的企业)。它也经常从地理上进行定义,但通常需要核心区域以外的连接和交互。事实上,“目的地”一词实际上是指以旅游为基础的生态系统。目的地与其他生态系统(如住宅)重叠,并与其支线市场有联系。此外,旅游企

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Gee Journal 31.4457-465457?1993 (Dec) by Kluwer Academic Publishers Ecotoufism in the Small Island Caribbean Weave~ David B., Prof. Dl:, UniversiO, of Regina, Luther College, Regina, Saskatchewan $4S OA2, Canada ABSTRACT: Ecotourism-related strategies can serve to enhance the tourism industries of small Caribbean islands, which are presently dominated by a 3S (sea, sand, sun) product. In the first place, the principles of Alternative Tourism can be applied to 3S tourism in order to minimize negative environmental impacts. Secondly, diversionary ecotourism opportunities can be promoted to diversify the tourism product, thus providing a nature-oriented alternative to resort-based tourists. Thirdly, regional ecotourism, catering to ecotourists, can be fostered in mountainous interiors, peripheral islands, undeveloped coastlines, rural agricultural areas and in offshore reefs. A fourth strategy, exemplified by Dominica, entails a comprehensive ecotourism approach for destinations in which 3S tourism is undesired or unsuited. Introdactien The concept of ecotourism has attracted a considerable amount of interest among both academics and non-academics since the term was first introduced in the mid-1980s (see for example Boo t990; Goriup 1991; Lindberg 1991; Nelson, Butler and Wall 1993; Whelan 1991; Ziffer 1989). In a frequently cited definition, Ceballos-Lascurain (1988) characterizes ecotourism as Tourism that involves travelling to relatively undisturbed or uncontaminated natural areas with the specific object of studying, admiring and enjoying the scenery and its wild plants and animals, as well as any existing cultural aspects (both past and present) found in these areas. While this definition is useful in stressing the environmental orientation of ecotourism, it is clear that the term has also come to be associated with a range o f characteristics which collectively define an "alternative tourism" (AT) paradigm (Dernoi 1981; Krippendorf 1987; Singh, Theuns and Go 1989). This paradigm has emerged as an alternative to "conventional mass tourism" (CMT), which has been criticized as an often inappropriate form of tourism, especially for smaller destinations. CMT characteristics, outlined and contrasted in Tab 1 with the AT model, tend to appear during the middle and later stages of a destination's cycle of evolution (Butler 1980; Christaller 1963; Stansfield 1978). With respect to accommodations, attractions, market and economic impact, the argument can be made that ecotourism and AT are merely other names for the early "exploration" stage of the resort cycle, when relatively unspoiled areas are opened up to further tourist incursions by a few pioneer travellers. However, as pointed out by Weaver (1991), what distinguishes this "circumstantial" AT from "deliberate" AT is the lack of regulations and policies which attempt to ensure that the activity is maintained at environmentally, economically and socially sustainable levels. "Deliberate" ecotourism, the subject of this paper, is therefore very" much associated with intentions of identifying and working within the carrying capacities of a particular area, and o f discouraging the emergence of a CM T product where it is deeme d to be undesirable or inappropriate. The recent proliferation of ecotourism case studies, based largely in the underdeveloped world, is not surprising in light of deliberate ecotourism's status as the fastest growing form o f tourism (Whelan 1991). For example, Dearden (1989) and Zurick (1992) examined the p h e n o m e n o n of mountain trekking in Nepal and northern Thailand respectively, while Boo (1990), and Fennell and

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