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Smile and its impacts on mood forming and purchase intentions in retail business Jappy P. Fanggidae; Noldy D. P. Mumu
Enrichment : Journal of Management Vol. 12 No. 6 (2023): February: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v12i6.1038

Abstract

This study aims to investigate the impact of employee smiles on consumer purchasing interest in shopping centers. Literature in the field of communication shows that facial expressions are a form of non-verbal communication that is very often used and is more trusted by communication partners than verbal communication. In the retail business, business owners always advise their employees to smile in front of customers to get a positive response from customers. We investigate whether a smiling employee can elicit customers' positive (negative) mood, which eventually influences their purchasing intention. To achieve the research objectives, this research used quantitative experimental methods. Theoretical and practical implications of the study are discussed in this paper.
Village-owned enterprises: analysis and modeling (Study on 69 Villages-Owned Enterprises in Belu District - NTT Province) Noldy D. P Mumu; Patrisius Seran
Enrichment : Journal of Management Vol. 13 No. 1 (2023): April: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i1.1249

Abstract

The purpose of this study is to explore and map in depth about BUM Desa starting from the institutional, organ and governance system, stakeholders to various problems faced, then analyze it for further designing and recommending a comprehensive and comprehensive Re-Modeling. strategic as a solution for the management of BUM Desa in Belu Regency in particular and in East Nusa Tenggara Province in general. The method used in this study is descriptive qualitative because this method is considered to be able to provide a broader, in-depth and detailed description of the phenomena in the field, in this case the reality conditions of BUM Desa in Belu district. The results of the study show that the problems that have hindered all BUM Desa in Belu district have so far stemmed from the absence of a standardized formal model starting from pre-operational; operational implementation; post operational.
ANALISIS CASH FLOW DAN KINERJA KEUANGAN DENGAN MENGGUNAKAN DUPONT SYSTEM DI TOKO SEPATU NEW RESTU IBU Patrisius Seran; Darwin Yopie Kefi; Melda Mariana Poeh; Noldy D. P. Mumu
JAKA - Jurnal Jurusan Akuntasi Vol 5 No 2 (2020): Jurnal Akuntansi, Keuangan dan Audit (JAKA)
Publisher : P3M- Politeknik Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine cash flow and financial performance at the New Restu Ibu shoe store in Atambua, Belu, East Nusa Tenggara. The method used in this research is descriptive and quantitative. The analysis technique used is the DuPont System or ROI. The results of the study show that store cash flow based on income statements in 2016, 2017, 2018 and 2019 experienced profits. The financial performance of the New Restu Ibu shoe store using the Du Pont system model for 2016-2019 shows a decline, but Return On Investment (ROI) is above inflation and interest rates.
DAMPAK ETIKA KECERDASAN BUATAN (AI) DAN BIG DATA TERHADAP PENGAMBILAN KEPUTUSAN BISNIS PEDAGANG KAKI LIMA DI KOTA KUPANG (Analisis Kuantitatif Dengan Variabel Mediasi Kepuasan Konsumen Dan Variabel Moderasi Tingkat Literasi Digital) Seran, Patrisius; Kefi, Darwin Yopie; Mumu, Noldy D.P; B. Hayon, Laurents Kristiano
JURNAL ILMIAH EDUNOMIKA Vol 8, No 4 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i4.15624

Abstract

Abstract In the digital era, the use of technologies such as artificial intelligence (AI) and big data has become key in business decision making. However, ethical challenges and their impact on the informal sector, especially among street vendors (PKL) in Kupang City, have not been widely studied. This study aims to examine the impact of AI and big data ethics on street vendors' business decision making, considering consumer satisfaction as a mediating variable and digital literacy as a moderating variable. This study uses a quantitative approach with the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method. Data were collected through questionnaires distributed to 488 street vendors in Kupang City. The variables studied include AI ethics, big data, consumer satisfaction, digital literacy, and business decision making. Testing was conducted to measure the direct relationship between variables and the mediating and moderating roles of consumer satisfaction and digital literacy. This study found that big data has a positive and significant effect on consumer satisfaction (p-value: 0.000