Advancing heritage tourism in the central Karoo: The South African War Battlefields Route

ABSTRACT

Tourism and tourism development have the potential to make a positive impact on a region’s economic development and sustainability. In this sense, the central Karoo has a great deal to offer heritage tourists. As there are numerous battlefield sites associated with the South African War (1899–1902) (previously the Anglo-Boer War) the central Karoo offers a unique development opportunity to demarcate a designated battlefield route dedicated to the war. This study investigated the potential for the development of the proposed route by involving potential stakeholders (specifically product owners and government officials) on the route. The study was qualitative, and 33 interviews were conducted. Thematic content analysis was used to analyse the data. The main findings indicate a need for the development of the route and the establishment of a South African War Battlefields Route Destination Marketing Organisation (DMO).     

Virtual reality and mixed reality for second chance tourism

The deterioration of attractions, landmarks, artefacts and destinations is a critical issue facing tourism across the world. The closure of tourism sites and attractions is increasingly more common due to the difficulty and expense of managing preservation with onsite tourism engagement. However, the closure or destruction of tourism sites presents challenges for tourism development. The inability to foster meaningful visitor engagement at sites has implications for the local communities. This paper aims to explore the efficacy of creating tourism experiences in destinations and sites that have succumbed to over-tourism, resultant deterioration and even, destruction. To achieve this objective, the paper introduces the concept of second chance tourism and the role of innovative preservation methods such as virtual and mixed reality. Based on the proposed framework, the collation of data will provide indications on site preservation and impact mitigation via a second chance to reduce pressure on inherently fragile destinations.     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

What prevents consumers that are aware of Airbnb from using the platform? A mixed methods approach

The hospitality sector is now characterised by the co-existence of traditional providers and sharing economy enterprises. It is important to better understand what prevents the use of peer-to-peer accommodation rentals in the tourism marketplace. Adopting a mixed-methods approach, this study first examines travellers’ Airbnb use constraints, and then profiles 252 Airbnb non-users based on their constraints and characteristics. The findings suggest that travellers do not use Airbnb because of distrust in the providers, in the platform and in other users, as well as perceived risk and unfamiliarity. Loss of service quality, lack of local experience, legal and regulatory issues, and disinterest also prevented consumers to book Airbnb accommodations. A cluster analysis divided non-users into three segments: Traditional travellers, Sharing economy misbelievers and Airbnb prospective users. Significant differences based on age confirmed that young travellers are more confident in using peer-to-peer accommodation platforms and more interested in the philosophy.     

Tourism,heritage and politics: conflicts at the City of David,Jerusalem

This article analyses the development and progress of conflicts at the “City of David” heritage-tourism site in Jerusalem, Israel and the reciprocal relations between heritage sites and conflicts. It offers a comprehensive examination of the development of a major tourist attraction in Israel. Our research is based on the following two methods of qualitative research: (1) in-depth, semi-structured interviews with 43 key stakeholders; (2) textual analysis of current written materials and historical documents. The study investigates the relevant processes and decisions, stakeholder perceptions, the role of the archaeological excavations, and their relationship to the development of conflict. On a broader level, this study formulates a theoretical and practical framework for analysing the development of heritage tourism sites in conflict zones.     

非国有大股东对国企超额雇员的影响:成本效应还是激励效应

基于竞争理论的国企改革思路强调减少政策性负担摊派,基于产权理论的改革思路侧重于引入非国有资本,以解决产权不清晰与所有者缺位问题.本文尝试融合两种理论,以国企超额雇员问题为研究对象,从非国有大股东视角探究混合所有制改革成效.研究发现:非国有大股东能够显著降低国企超额雇员,减弱超额雇员对公司价值的损害作用,且该治理作用会随非国有大股东相对力量的提高而增强;从作用机制来看,该治理作用不仅表现为劳动力成本尤其是员工薪酬的节约,还表现为内部薪酬差距和管理层薪酬业绩敏感性的提高,兼具成本效应与激励效应;该作用在地区就业压力较小、劳动密集度较低以及劳动保护水平更低的环境下更为显著.     

High-frequency credit spread information and macroeconomic forecast revision

We examine whether professional forecasters incorporate high-frequency information about credit conditions when revising their economic forecasts. Using a mixed data sampling regression approach, we find that daily credit spreads have significant predictive ability for monthly forecast revisions of output growth, at both the aggregate and individual forecast levels. The relationships are shown to be notably strong during ‘bad’ economic conditions, which suggests that forecasters anticipate more pronounced effects of credit tightening during economic downturns, indicating an amplification effect of financial developments on macroeconomic aggregates. The forecasts do not incorporate all financial information received in equal measures, implying the presence of information rigidities in the incorporation of credit spread information.     

Forecasting value at risk and expected shortfall with mixed data sampling

I propose applying the Mixed Data Sampling (MIDAS) framework to forecast Value at Risk (VaR) and Expected shortfall (ES). The new methods exploit the serial dependence on short-horizon returns to directly forecast the tail dynamics of the desired horizon. I perform a comprehensive comparison of out-of-sample VaR and ES forecasts with established models for a wide range of financial assets and backtests. The MIDAS-based models significantly outperform traditional GARCH-based forecasts and alternative conditional quantile specifications, especially in terms of multi-day forecast horizons. My analysis advocates models that feature asymmetric conditional quantiles and the use of the Asymmetric Laplace density to jointly estimate VaR and ES.     

Bridging the valuescape with digital technology: A mixed methods study on customers’ value creation process in the physical retail space

This mixed methods study investigated how value is created in the physical retail space and how the customer experience is influenced by digital technology. A cross-sectional survey, with both qualitative and quantitative components, was distributed across a heterogeneous sample of 832 customers. The results revealed an overarching model comprised of three interrelated clusters: customer, service provider, and digital technology. We propose that this model can be understood as a valuescape, where customers' specific goals, needs, and desires drive them to interact and co-create value with service providers in the physical retail space, with digital technology either enhancing or disrupting this value co-creation process. The results also show that the importance of aligning digital solutions with customers’ drives increases at the same pace as reliance on technology. The findings offer guidelines on how to utilize digitalization to leverage customer experiences and thus strengthen the attractiveness of physical retail spaces.     

赋予科研人员职务科技成果所有权的法律释义及实现路径

赋予科研人员职务科技成果所有权，是从权属规则设计上解决科技成果转化难的国家政策。但现行《合同法》、《科技进步法》、《科技成果转化法》等法律相关规定对政策试点形成制约，弱化了政策实施力度。从法律视角廓清科技成果定义及类型，界定科研人员性质及范围，探寻科技成果所有权改革的政策目的，并对政策执行面临的法律障碍进行分析，提出以意定优先为原则修订相关法律，以有利于科研人员的基准进行立法解释，并通过单位与科研人员事前协议、约定职务科技成果归属等路径，将职务科技成果所有权依法赋予科研人员，从而解决法律规定与政策执行冲突，确保政策实施的法律正当性。