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Budgeting is used to assist in strategic planning. It is the process of allocating resources to selected activities or programmes. The search for better methods of allocating and controlling the expenditure of funds has always been very important to managers. With corporations realising decreasing revenues and governments confronted by huge deficits, budgeting is more difficult than ever. The old methods no longer are suitable for most organisations [p. 104]. This article addresses the newest forms of budgeting‐Zero‐Base Budgeting (ZBB) and Activity‐Based Budgeting (ABB).

This paper aims to investigate drought impacts and vulnerabilities specific to mountain resort communities and the implications for the tourism industry, in order to derive a set of recommendations for reducing drought vulnerability of this economic sector.

This article presents the results from a case study conducted in Colorado, USA, mountain communities evaluating the multi‐year drought that culminated in 2002. Using qualitative research methods, a series of interviews were conducted to garner the experiences of state and local tourism officials, ski resort representatives, and environmental, municipal and agricultural organizations.

This study finds that drought alone was not responsible for creating the variety of direct and secondary impacts on Colorado resort communities. The paper highlights the importance of water resources to the economic wellbeing of resort communities and recognizes the critical roles of communication, planning, media and public perception during a drought.

Societal vulnerability in mountain resort communities in relation to drought has rarely been addressed in the literature. The study provides specific recommendations to the resort managers and tourism officials for mitigating drought impacts of, and reducing resort communities' vulnerability to, drought.

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

This study aims to investigate the Chile–China diplomatic and economic relations in the light of the extension of the bilateral free trade agreement (FTA) and the Chile's accession to the Belt and Road Initiative (BRI) in 2019.

This study takes Chile as a case of study to identify the main upcoming challenges and opportunities for relations between China and Latin American and the Caribbean (LAC) countries. The study examines news and official data on trade, investment and foreign policy.

The findings are twofold. First, the increasing and diversification of exports from Chile to China. Second, the participation of Chinese companies in public tendering procedures, which is increasing Chinese foreign direct investment (FDI) in the country. The growing volume of trade does not make Chile's economy more dependent on copper exports, and Chinese investment may help solve the structural deficit in infrastructures of the Andean country.

This study presents an overview of Chile as a partner for China and evaluates the relationship's impact on the development of the former. Recently collected data on bilateral trade and investments are analyzed to contribute to the emerging literature on Chinese and Chile relations.

Scheduling the airlift of relief supplies into a damaged or small airport during a crisis is complex yet crucial. The volume of cargo and flights can temporarily overwhelm the airport’s capacity and the mix of flights adds complexity. The purpose of this paper is to better characterize airport operations during a crisis, to develop a model that can assess strategies for scheduling flights and to draw implications for decision makers.

First, empirical data are analyzed to characterize airport operations. Previously unreported data from the 2010 Haiti earthquake response in the form of a “flight log” are analyzed to provide new insights and parameters. Alternate scheduling strategies are drawn from review of the literature and After Action Reports. Second, a queuing model is developed to understand operations in past crises and predict the impact of alternate scheduling strategies. Empirical data provide the parameters for airport scenarios evaluated.

Unloading capacity is seen to be the bottleneck but also to not be fully utilized, suggesting that a more aggressive flight schedule is needed. Scheduling flights is shown to be a tradeoff between volume of aid delivered and flights that must be diverted. The proper mix of aircraft and prioritized divert policies also provide benefits. Finally, it is beneficial, though perhaps counterintuitive, to create a parking buffer upstream from the unloading bottleneck.

Analysis of previously unreported data from the Haiti earthquake provides new insights regarding airport parking and unloading operations. A new model of airport scheduling for disaster response is proposed. The model differs from other humanitarian airlift models in that it focuses on aircraft parking and unloading. It differs from commercial aircraft scheduling and gate assignment in the objective used.

Bioprinting is a promising technology, which has gained a recent attention, for application in all aspects of human life and has specific advantages in different areas of medicines, especially in ophthalmology. The three-dimensional (3D) printing tools have been widely used in different applications, from surgical planning procedures to 3D models for certain highly delicate organs (such as: eye and heart). The purpose of this paper is to review the dedicated research efforts that so far have been made to highlight applications of 3D printing in the field of ophthalmology.

In this paper, the state-of-the-art review has been summarized for bioprinters, biomaterials and methodologies adopted to cure eye diseases. This paper starts with fundamental discussions and gradually leads toward the summary and future trends by covering almost all the research insights. For better understanding of the readers, various tables and figures have also been incorporated.

The usages of bioprinted surgical models have shown to be helpful in shortening the time of operation and decreasing the risk of donor, and hence, it could boost certain surgical effects. This demonstrates the wide use of bioprinting to design more precise biological research models for research in broader range of applications such as in generating blood vessels and cardiac tissue. Although bioprinting has not created a significant impact in ophthalmology, in recent times, these technologies could be helpful in treating several ocular disorders in the near future.

This review work emphasizes the understanding of 3D printing technologies, in the light of which these can be applied in ophthalmology to achieve successful treatment of eye diseases.

Building on associative priming, anthropomorphism and biophilia theories, this study aims to explain that a natural–organic (that shows a natural object) and an anthropomorphised natural–organic logo (that shows an anthropomorphised natural object) both act as primes and imbue specific product value perceptions, which subsequently influence willingness to pay a premium price when products have not been used by or are unfamiliar to consumers.

Two between-subjects experiments were conducted with different products (one with real, but unfamiliar to consumers brand and another with a fictitious brand). Structural equation modelling was used to test the hypotheses.

Experimental studies showed that natural–organic logos evoked stronger utilitarian (functional and economic) value perceptions, which triggered greater willingness to pay a premium price compared to anthropomorphised natural–organic logos. The effect of hedonic (emotional and novelty) values on willingness to pay a premium price was stronger when an anthropomorphised natural–organic logo was used.

This research offers novel theoretical contributions highlighting the importance of careful logo design to imbue desired value perceptions when products have not been consumed or trialled.

Anthropomorphised natural–organic and natural–organic logos can provide different benefits to brand managers and can be used strategically to form desired value perceptions before products are consumed. Brands that wish to enhance premium pricing via hedonic values should consider using an anthropomorphised natural–organic logo. Natural–organic logos may be more suitable for brands that want to emphasise superior utilitarian values.

To the best of the authors’ knowledge, this research provides the first empirical assessment of the differential effects of the two forms of natural–organic logos on value perceptions and willingness to pay premium price.