{"title":"Determinants of Sustainable Capital Budgeting Practice: A Structural Equation Modelling Approach","authors":"Stephen Gordon","doi":"10.35609/gcbssproceeding.2022.1(52)","DOIUrl":null,"url":null,"abstract":"Across the globe, capital budgeting – the planning process of appraising an organisation‟s long term investments for funding – plays a pivotal role in economic growth by providing the platform for mobilising long-term funds for economic development. Capital budgeting practice refers to the aggregate tools/techniques for strategic investment decisions under risk and uncertainty conditions (Desai, 2019; Hillier et al., 2021). It involves a large cash outlay, expecting a future stream of benefits/income/return. Existing research suggests that financial and non-financial considerations influence managers‟ choices of CBTs across nations (Batri & Verma, 2017). One of the significant concerns of Oman‟s Ninth five-year development plan 2016-2020 is its focus on achieving a private sector-driven economy enabled by public-private partnership (PPP) projects and related growth strategies that will drive non-hydrocarbon and more excellent employment opportunities for the Omani nationals. To this end, the manufacturing sector is at the centre of Oman‟s Top 7 Sectors comprising other critical industries, including Construction, Wholesale and Retail Trade, Agriculture and Forestry, Real Estate and Business Activities, Private households with Employed Persons, and Hotels & Restaurants (MoCI, 2014). However, there has been very little academic research on capital budgeting with a focus on the manufacturing industry of Oman.\n\n\nKeywords: Advanced capital budgeting techniques (ACBTs), Confirmatory factor analysis (CFA), Oman, Real options valuation (ROV), Structural equation modelling (SEM).","PeriodicalId":340394,"journal":{"name":"13th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"13th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35609/gcbssproceeding.2022.1(52)","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Across the globe, capital budgeting – the planning process of appraising an organisation‟s long term investments for funding – plays a pivotal role in economic growth by providing the platform for mobilising long-term funds for economic development. Capital budgeting practice refers to the aggregate tools/techniques for strategic investment decisions under risk and uncertainty conditions (Desai, 2019; Hillier et al., 2021). It involves a large cash outlay, expecting a future stream of benefits/income/return. Existing research suggests that financial and non-financial considerations influence managers‟ choices of CBTs across nations (Batri & Verma, 2017). One of the significant concerns of Oman‟s Ninth five-year development plan 2016-2020 is its focus on achieving a private sector-driven economy enabled by public-private partnership (PPP) projects and related growth strategies that will drive non-hydrocarbon and more excellent employment opportunities for the Omani nationals. To this end, the manufacturing sector is at the centre of Oman‟s Top 7 Sectors comprising other critical industries, including Construction, Wholesale and Retail Trade, Agriculture and Forestry, Real Estate and Business Activities, Private households with Employed Persons, and Hotels & Restaurants (MoCI, 2014). However, there has been very little academic research on capital budgeting with a focus on the manufacturing industry of Oman.
Keywords: Advanced capital budgeting techniques (ACBTs), Confirmatory factor analysis (CFA), Oman, Real options valuation (ROV), Structural equation modelling (SEM).