垂直农业业务发展的协同决策支持系统框架

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2021-01-01 DOI:10.4018/ijdsst.2021010103
Francis J. Baumont De Oliveira, S. Ferson, Ronald Dyer
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引用次数: 14

摘要

垂直农业(VF)这个新兴产业面临着三个关键挑战:标准化、环境可持续性和盈利能力。高故障率是代价高昂的,可能源于不成熟的商业决策,包括地点选择、定价策略、系统设计和其他关键问题。提高知识转移和发展VF的适应性经济分析是盈利商业模式满足投资者和决策者的必要条件。对当前园艺软件的审查确定了对决策支持系统(DSS)的需求,该系统可以促进垂直农民的风险授权业务规划。来自文献的数据以及来自行业从业者的经验教训被集中在拟议的DSS中,使用不精确的数据技术来容纳部分信息。DSS使用财务风险评估来评估业务的可持续性。这对于数据稀缺的VF等复杂/新部门是必要的。
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A Collaborative Decision Support System Framework for Vertical Farming Business Developments
The emerging industry of vertical farming (VF) faces three key challenges: standardisation, environmental sustainability, and profitability. High failure rates are costly and can stem from premature business decisions about location choice, pricing strategy, system design, and other critical issues. Improving knowledge transfer and developing adaptable economic analysis for VF is necessary for profitable business models to satisfy investors and policy makers. A review of current horticultural software identifies a need for a decision support system (DSS) that facilitates risk-empowered business planning for vertical farmers. Data from the literature alongside lessons learned from industry practitioners are centralised in the proposed DSS, using imprecise data techniques to accommodate for partial information. The DSS evaluates business sustainability using financial risk assessment. This is necessary for complex/new sectors such as VF with scarce data.
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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