Sustainability Strategies of Indonesian Mega-Dairy Farm Business: A Case of Greenfields Indonesia

Rahmana, Adhitya; Daryanto, Arief; Jahroh, Siti

doi:10.17358/jma.15.2.162

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…The protein content of plant-based milk alternatives is an average of 48% of cow's milk, and the levels of vitamins and minerals tend to be less consistent with plant-based milk alternatives [36]. In Indonesia, to promote dairy farm sustainability, their business sustainability factor is the standardization of a company's management system [37].…”

Section: Product Sustainabilitymentioning

confidence: 99%

The Effectiveness of Product Sustainability Claims to Mitigate Negative Electronic Word of Mouth (N-eWOM)

et al. 2022

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The purpose of this study is to investigate the role of negative electronic word-of-mouth (N-eWOM) messages on attitudes, subjective norms, perceived behavior control (PBC), and the intention to purchase sustainable dairy products. This study also investigates the moderating role of product sustainability claims to reduce the effect of N-eWOM on customers. It comprises two experiments on college students (n = 120; 90) who have at least two accounts on different social media platforms. We use both qualitative and quantitative techniques. The model was developed and tested on data collected from questionnaires. The results of Study 1 suggest that N-eWOM reduces purchase intentions, attitudes, subjective norms, and PBC. High N-eWOM reduces purchase intention more than the low N-eWOM. Study 2 found that with high N-eWOM, product sustainability claims (congruent or incongruent) moderate the effect of N-eWOM on attitudes, subjective norms, PBC, and purchase intention. Purchase intention is higher when a product sustainability claim is congruent. These novel findings contribute to our understanding of ways to mitigate the impact of N-eWOM by taking preventive actions, such as making product sustainability claims.

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Section: Product Sustainabilitymentioning

confidence: 99%

The Effectiveness of Product Sustainability Claims to Mitigate Negative Electronic Word of Mouth (N-eWOM)

et al. 2022

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“…For example, the composition of Madura rice, an ethnic food in East Indonesia, has high fiber and low energy density. However, there was no data how these food density could effect on glucose and visual analog levels based on hunger-filled scales 3 . Aim of this study was analyzing effect of energy density of food on blood glucose levels and Visual Analog Scale (VAS).…”

Section: Introductionmentioning

confidence: 99%

Effect of Dietary Energy Density on Increasing Blood Glucose Pattern and Hunger-Satiety Sensation

2020

IJFMT

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Background: There was no data how these food density could effect on glucose and visual analog levels based on hunger-filled scales in Indonesian population.Objective To determine the effect of food energy density on glucose levels and hunger-satiety sensation.Material and Methods: Seventeen women 18-22 years of age with BMI> 25, were given low energy density breakfast (n = 9) and high energy density (n = 7). The subjects were fasted for 10 hours, fasting blood glucose levels was measured as well as hunger-satiety sensation with a visual analog scale (VAS), prior to treatment. Breakfast was started at 08.00 a.m chew up to 32 times for 15 minutes. Blood glucose levels and VAS measurement were taken back in 2 hours and 4 hours afterward.Result: There was a significant differences in glucose levels between 4 hours postpandrial and 2 hours postpandrial (p = 0.031) and also between 4 hours postpandrial and fasting state (p = 0.042) in both groups. Analysis of hunger level VAS (p = 0.02) and satiety level VAS (0.04) at 4 hours postpandrial also differ significantly. Correlation analysis between hunger level VAS and blood glucose was different significantly (p = 0.01) with r = -0.59. Conclusions:The low energy density foods produce a pattern of increasing blood glucose levels were more stable, thus, more able to suppress the sensation of hunger than high energy density.

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Z-Delphi: A Z-Number-Based Delphi Technique for Technological Forecasting to Reduce Optimism/Pessimism Bias in Experts’ Convergent Opinions

Anjaria

2023

Int J Comput Intell Syst

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The Delphi technique is an indispensable instrument for technology forecasting. The method is, however, limited by ambiguity aversion, uncertainty, and statistical optimism/pessimism bias. To address the aforementioned limitations, we have proposed a fuzzy Delphi technique based on Z-numbers in this paper, as Z-numbers offer an effective framework to simulate human thinking. We generated basic probability assignments (BPAs) from the experts’ responses, considered statistical dispersion using Grey Clustering, and then developed Z-numbers. The proposed method is flexible and can be applied to forecast technological aspects based on subjective judgments. We consulted with 11 experts to forecast water-saving technology for dairy plants. Entropy was used to compare the proposed method to other fuzzy Delphi approaches. Compared to other fuzzy Delphi methods, we discovered that the proposed approach registers the lowest uncertainty. The proposed study suggests that fuzzy Delphi with reduced uncertainty can be highly impactful in critical fields like sustainable production. In the end, we have discussed the future research directions of the proposed study.

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Sustainability Strategies of Indonesian Mega-Dairy Farm Business: A Case of Greenfields Indonesia

Cited by 3 publications

References 19 publications

The Effectiveness of Product Sustainability Claims to Mitigate Negative Electronic Word of Mouth (N-eWOM)

The Effectiveness of Product Sustainability Claims to Mitigate Negative Electronic Word of Mouth (N-eWOM)

Effect of Dietary Energy Density on Increasing Blood Glucose Pattern and Hunger-Satiety Sensation

Z-Delphi: A Z-Number-Based Delphi Technique for Technological Forecasting to Reduce Optimism/Pessimism Bias in Experts’ Convergent Opinions

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