1,720,958 research outputs found
MACROECONOMICS FACTOR: THE IMPACT ON STOCK PRICE INDEX
The objective of this study is to determine the link between macroeconomic variables and JCI, STI, and KLSE which are the stock price indexes of Indonesia, Singapore, and Malaysia stock price indexes. Multiple linear regression is used to investigate the influence of four macroeconomic factors on the stock market composite index, namely GDP growth, broad money (money supply), inflation, and interest rate spread. The finding indicates that inflation has a negative effect, while interest rate spread positively affecting the stock price Indexes. Investors may profit from this situation by purchasing blue chips when inflation and interest rates are rising.
Keywords: GDP growth, inflation, interest rate spread, money supply, stock price indexe
Change and adaptation : A transnational Study of Kids Castle Franchise Business of Taiwan to Indonesia
[[abstract]]在1970至1980年代,許多中小企業的經營競爭激化,導致特許加盟經營成長,使用知名品牌或特許加盟業務體系,建立新的業務或替代市場,增加公司利潤與生存空間。特許加盟經營制度幫助許多中小企業在全球局勢不明朗,且高度競爭的情況下生存下來。通過良好的加盟制度,特許經營體系允許經營者在母公司的監督下,克服不確定性動盪與競爭危機,使得加盟商獲得更多的生存力量與空間。特許加盟經營制度擁有嚴格的標準作業程序(SOP),加盟商必須遵守母公司的標準和規定。通常國際加盟系統有一些跨國適應問題,因為國際不同的文化,加盟法規和其他條件必須是不同的。國際加盟系統需要在標準作業程序和外國不同環境條件之間取得平衡。為了解國際特許加盟經營系統的變革與適應過程,本研究以台灣吉的堡幼兒園特許加盟經營制度為案例進行研究。本研究綜合文獻綜述,有關特許加盟經營專業知識,使用AHP分析消費者群體的問卷調查結果,以確定適應過程中的關鍵因素。研究結論顯示,學習價格(學費),專業教師,學習語言,教學設施,品牌印像,園區位置等都是跨國加盟適應過程的關鍵因素。最後,母國特許經營者和跨國加盟經營者之間的關係,是兩方面都要重視的重要因素之一。[[abstract]]Duringthe1970sand1980sbusinesscompetitionsawthefailureofmanysmallandmediumsizedbusinesses,whichresultedingrowthoffranchisingasanalternativetobuildnewformofbusinessusingthewellknownbusinesssystem.Franchisingsystemhelpedmanycompanytosurvivefromuncertainglobalsituation.Throughwellorganizedsystemandexperience,franchisingsystemallowsfranchiseetosavefromuncertaintyturbulenceundersupervisionofmothercompanywhichallowsfranchiseetogetmorepowerforsurvivalpattern.FranchisingsystemhaveStandardOperationalProcedure(SOP).Franchiseehastofollowthestandardandrulesfromthemothercompany.Usually,therearesomeadaptationproblemtothesystem,becauseInternationaldifferentculture,regulation,andtheotherconditionsaredifferent.ItneedstobalancebetweentheSOPandtheconditionofforeign.TounderstandthechangingandadaptationprocessthroughInternationalfranchisingsystem,KidCastleFranchisingsystemwasdeterminedasacasestudyinthisresearch.Thisstudyhascombineddiscussionsinliteraturesreviews,franchiseexpertise,andquestionnairesurveyresultsobtainedfrominterviewwithconsumergroupusingAHPanalysisinordertodeterminethekeyfactorsduringadaptationprocess.Thestudyconclusionsshowedthatprice(tuitionfee),Instructor,Languageusedinlearning,Facility,Brand/Image,locationandetcplayasakeyfactorinadaptationprocess.Howeverrelationshipbetweenfranchisorandfranchiseeisoneofthemostimportantaspectthatbothofthemhavetopayattentionmore
Positive determinants word-of-mouth of supermarket consumer in the COVID-19 pandemic era
This research, which was conducted in the era of the COVID-19 pandemic, aims to analyze the influence of the dimensions of service quality, competitive prices, customer satisfaction toward the positive word-of-mouth of Supermarket customers. Questionnaires were distributed to 350 respondents as samples using the non-probability sampling method and purposive sampling technique. Meanwhile, Structural Equation Modeling (SEM) is used to analyze the data. The results of the study indicate that Reliability, Assurance, Tangibles, Empathy, Responsiveness, Competitive Price have positive and significant effects onCustomer Satisfaction, which in turn would have a positive impact on positive word-of-mouth. Of all dimensions of service quality, the most powerful factor influencing consumer satisfaction shopping in supermarkets is reliability, and the one that gives consumers the most important feeling in providing quality services is Responsiveness. For further research, it is recommended to expand the scope of research in various types of businesses, not only in supermarkets
Understanding digital remittance adoption: The role of credibility, ease of use, and promotion with technological anxiety as a moderator in Indonesia
This study examines the influence of credibility, perceived ease of use, and promotion on users\u27 behavioral intention in using digital remittance services in Indonesia, with a focus on the moderating role of technological anxiety. It aims to understand how these factors shape user engagement and whether technological anxiety alters these relationships. A structured survey was conducted among Top Remit users to collect data on their perceptions and experiences. Findings indicate that credibility, ease of use, and promotion have a positive influence on behavioral intention, highlighting the importance of trust, platform simplicity, and effective marketing. While technological anxiety directly affects behavioral intention, it does not significantly moderate the relationships between credibility, ease of use, and promotion. Enhancing credibility, user experience, and balanced promotions fosters user adoption. The study offers practical insights for digital service providers to enhance user satisfaction and overcome technological barriers
Marketing Mix and Repurchase Intention of Cafe Industry During Covid-19: A Statistical and Data Mining Analysis
The COVID-19 pandemic has hit the world and bring unprecedented changes to all industries, including the Micro Small Medium Entrepreneur (MSME) of coffee shop businesses. This study aimed to determine the effect of the marketing mix on customer satisfaction to increase repurchase intention in modern coffee outlets. In addition, statistical modeling, segmentation analysis, and variables weighting using Support Vector Machine were performed. Eventually, product, price, and place positively and significantly affect customer satisfaction, while the promotion does not. Customer satisfaction was found to increase the repurchase intention of the customers. The segmentation analysis and SVM weighting attributes support the product quality as crucial to the marketing mix. It is implied that marketers should devise a marketing approach differently to different clusters since each cluster has distinct characteristics
Real Estate Segmentation: A Model of Real estate Decision Support System
Due to human limitations of computational thinking, the quality of rational decision-making is constrained, and as a result, people encounter bounded rationality. A decision support system is widely demanding in tackling this problem, especially in real estate management. This study focuses on 3 main purposes. Firstly, comparing K-means, X-means and K-medoid algorithm performance in clustering sold house characteristics to be further used for pricing houses. Second, characterizing each cluster for developing a suitable marketing strategy by utilizing machine learning technology. Lastly, providing a managerial implication as a decision support system for assisting stakeholders in making a decision. Eventually, K-means and X-means algorithm show very similar performance. X-means can automatically determine the number of clusters while k-means utilize the elbow method to find the optimum number of clusters. Three clusters were identified as cluster 0, cluster 1, and cluster 2. Cluster 0 was occupied by 85.77% of low house prices. There are two practical implications of this study. Firstly, the results of clustering analysis which reflected in a model of decision support system. Second, an intuitive and comprehensive methodological framework is presented for helping stakeholders designing a decision support system
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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