Technology Investment Strategy Annex Collective Protection Front End Analysis and Master Plan Report

Purpose The authors consider a dynamic emission-reduction technology investment decision-making problem for an emission-dependent dyadic supply chain consists of a manufacturer and a retailer under subsidy policy for carbon emission reduction. The consumers are assumed to prefer to low-carbon products and formulate a supply chain optimal control problem. Design/methodology/approach The authors adopt differential game to analyze investment strategies of cost subsidy coefficient with respect to vertical incentive of a manufacturer and a retailer. A comparison analysis under four different decision-making situations, including decentralized decision-making, centralized decision-making, maximizing social welfare, is obtained. Findings The results show that the economic benefit and environmental pressure have a win–win performance in centralized decision-making. In four different game models, equilibrium strategies, profits and social welfare show changing diversity and have a consistent development trend as time goes on. Research limitations/implications The authors estimate the demand function is a linear function in this paper. According to the consumers’ preference to low-carbon products, consumer’s awareness meets the law of diminishing marginal utility like advertising goodwill accumulation. The carbon-sensitive coefficient might be a quadratic expression, which will complicate the problem and be consistent with reality. Practical implications It captures that there is a necessity to strengthen cooperation and exchange of carbon emission technology among the enterprises by simulation of different decision-makings when government granted cost subsidy. Social implications The results provide significant guidelines for the supply chain to make decision-makings of emission-reduction technology investment and relevant government departments to determine emission subsidies costs. Originality/value An endogenous subsidies coefficient is produced by the social welfare function. Distinguished from previous study, it also considered the influences of carbon emission trade policy and consumer preference.

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Information Technology Investment Strategy Planning: Balance Scorecard Approach

CommIT (Communication and Information Technology) Journal ◽

10.21512/commit.v5i1.551 ◽

2011 ◽

Vol 5 (1) ◽

pp. 8

Author(s):

Henny Hendarti ◽

Iwan Kurniawan

Keyword(s):

Information Technology ◽

Field Studies ◽

Investment Strategy ◽

Investment Planning ◽

Balance Scorecard ◽

It Investment ◽

Technology Investment ◽

Information Technology Investment ◽

Book Studies ◽

Analysis System

Purpose of this research are to prepare the IT investment strategy using Balanced Scorecard approach in the company where the appropriate planning of this IT investment strategy can maximize the competitive benefit in the company, and it also to recommended a strategy of IT investment that can be implemented and measure the rate of return from the IT investment in the company. Research Method used book studies, field studies, and analysis system. Book studies from the books and journal. Field studies done by observation, interview, and questioner, and analysis system done by analyzed the ongoing system in the company. The result from this analysis is a recommendation in investment IT such as sales module, payment module, and report module. Then for the conclusion, this information technology investment planning can be develop to another investment implementation such authorized website of the company and using PDA (Personal Digital Assistant)Index Terms - Planning, Information Technology, Investment, Balance Scorecard

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