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Analysis of the Effect of Service Quality on Company Reputation on Purchase Decisions for Professional Recruitment Services Fernando; B. P. Kusumo Bintoro; Ninda Lutfiani; Haryanto; Dwi Julianingsih
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1736

Abstract

This study aims to analyze the effect of company reputation and service quality on purchasing decisions for headhunter services. This study is to determine the basis for consumer considerations in choosing a headhunter company, and for headhunter companies this research can be a reference in maintaining relationships with their customers. There are 3 hypotheses tested, and this study uses quantitative methods by conducting surveys. The sampling method is using probability sampling with a sample size of 115 respondents based on the hair formula. As for analyzing the data of this study using multiple linear regression analysis methods.The company's reputation and service quality both influence the decision to purchase headhunter services, with the main factor having higher relevance being the service quality variable. This study aims to determine the relationship of company reputation and service quality to purchasing decisions on professional recruitment services. Future research is expected to raise one case from a large headhunter company (local/international) regarding building the reputation of a headhunter service company. This is so that the headhunter Industry has a proven academic subject of what reputation looks like in the Headhunter Industry
Implementation Design In the Creation of Companies In the 4.0 Technology Era Muhammad Rehan Anwar; Siti Nurindah Sari; Siti Maesaroh; Haryanto; Sugeng Widada
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 1 (2022): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i1.244

Abstract

Industry 4.0 has been referred to as a new modern stage in which various developing technologies come together to deliver continuous innovation. After all, there is no understanding of how the organization does this innovation. After all, no one knows how the company performs this type of innovation. In this way, we expect to gain a better understanding of how Industry 4.0 ideas are accepted in assembly plants. We present a theoretical framework for this advancement, which we divide into two categories: front-end and base innovation. Front-end innovation considers four factors: smart manufacturing, smart products, a smart inventory network, and smart work, whereas basic advancement considers four factors: the internet of things, cloud administration, big data, and investigation. The sampling method, variable definition, sample and variance method, and data analysis are all used in this study. To focus on adopting these advancements, we reviewed 92 assembly organizations. Our findings imply that Industry 4.0 is linked to a fundamental embrace of front-end innovations, with Smart Manufacturing taking center stage. Our findings also suggest that implementing basic innovations is putting the organization to the test, given the sample in question still has very little knowledge and testing. We propose the creation of an Industry 4.0 innovation layer and demonstrate the extent of adoption of these advancements as well as their company-building ideas.
Use of Blockchain to Improve Case Studies in Food Supply Haryanto; Rio Argi Fiananda; Shilvia Wanri; Sunarsih
Blockchain Frontier Technology Vol. 1 No. 2 (2022): B-Front(Blockchain Frontier Technology)
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v1i2.256

Abstract

The current food supply is a linear economic model that directly or indirectly fulfills needs. However, this model has several weaknesses, such as the relationship between members of the supply chain or the lack of information to consumers about the origin of the product. In this paper we propose a new supply chain model via blockchain. This new model enables the concept of a circular economy and removes many of the disadvantages of the current supply chain. To coordinate all the transactions that occur in the food supply, a multi-agent system is created for this paper.