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Analysis of Promotion Mix and Place in Increasing Sales at Murai Coffee Gunungsitoli

Farasi, Wildan Syariah, Zebua, Serniati, Mendrofa, Martha Surya Dinata, Zalukhu, Yuterlin
Abstract: This research is motivated by the phenomenon of cafe business competition in Gunungsitoli City, which demands effective marketing strategies, particularly in the utilization of promotional mixes and business location selection.… ection. The purpose of the study is to analyze how promotional mixes and location aspects play a role in increasing sales at Murai Coffee Gunungsitoli. The research method used is a qualitative approach with data collection techniques through interviews, observation, and documentation. The research informants consisted of the owner, employees, and customers of Murai Coffee. Data were analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that Murai Coffee has implemented promotional strategies such as simple advertising, sales promotions, personal selling, public relations, and direct marketing that gradually increase customer interest. Meanwhile, the location factor, although not located in the city center, still provides sales opportunities through a comfortable atmosphere and quality service. However, challenges are still found in the comfort aspect, such as noise from outside and hot room temperatures, so that improvements to supporting facilities are needed. This research is useful for Murai Coffee in designing more optimal promotional strategies and location arrangements, for Nias University as a contribution to the development of marketing science, and as a reference for future researchers who want to study marketing strategies in the culinary sector.

Data Driven Marketing in Real Estate: Forecasting House Prices and Uncovering Influential Factors

Prabadianti, Intania, Samidi
Abstract: In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing… prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.

The Relationship Between Learning Styles and Learning Motivation Towards Academic Achievement of Students of The Faculty Of Economics and Business, State University of Makassar

Rahman, Abdul
Abstract: This study aims to determine the effect of learning styles on academic achievement, the effect of learning motivation on academic achievement, and the effect of learning styles and learning motivation on academic achievement.… ment. Sampling was carried out using a simple purposive sampling technique so that 44 students were obtained. Data collection used an online questionnaire. Data analysis used multiple linear regression analysis. The results of the study showed that the partial test (t-test) concluded that learning styles had a significant effect on academic achievement and learning motivation had a significant effect on academic achievement. Based on the F test, it was concluded that learning styles and learning motivation jointly influenced the learning achievement of FEB students at Makassar State University. Therefore, teachers are advised to analyze student learning styles in determining teaching methods and always motivate students to increase the intensity of their learning efforts.

The Role of Trust In Mediating Personal Selling and Customer Experience Towards The Decision To Save at BPR Syariah

Hindun, Kiftiah, Anwar, Muhadjir, Purwanto, Sugeng
Abstract: This research is motivated by the importance of building customer trust inencourage customer interest and decisions to save regularly at BPR Syariah, especially through strengthening personal selling marketing communication… ion strategies and positive service experiences. The main theory underlying this research is the Theory of Planned Behavior (TPB). This research aims to analyze (1) the influence of personal selling on saving decisions, (2) the influence of customer experience on saving decisions, (3) to determine whether trust mediates the relationship between personal selling and saving decisions, (4) to determine whether trust mediates the relationship between customer experience and saving decisions at BPRS Baiturridha Pusaka-Bandung. This study uses a quantitative approach through the Structural Equation Modeling–Partial Least Squares (SEM–PLS) method. The sample consisted of 120 active customer respondents of BPRS Baiturridha Pusaka-Bandung selected using a probability sampling technique through a simple random sampling approach, where each member of the population has an equal chance of being selected as a respondent. Data collection was carried out through the distribution of structured questionnaires and analyzed using Smart PLS software version 3.0. The results of the study show that (1) Personal Selling does not influence the decision to save (2) Customer Experience has a positive and significant influence on the Decision to Save (3) Trust is not proven to significantly mediate the relationship between personal selling and the decision to save (4) Trust is proven to significantly mediate the relationship between customer experience and the decision to save. These findings confirm that in the context of BPR Syariah, positive customer experience is the main factor in forming trust and driving savings behavior

Beyond Cost Control: How AI-Powered Spend Orchestration Unlocks 7.3% Growth Premiums in 2025

Dzreke, Simon Suwanzy
Abstract: In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted… ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.

Beyond The Hype: a Real World Evaluation of Blockchain's Role in Democratizing Agri Food Systems

Dzreke, Simon Suwanzy
Abstract: Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination… examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.

Collaboration Strategy Faculty of Economic and Bussiness Universitas Negeri Surabaya Indonesia to Become a Faculty With a Global Reputation

Hardini, Han Tantri, Susanti, Rahmawati, Fitriana, Susilowati, Fitriah Dwi, Saputra, Irwan Adimas Ganda, Maula, Farij Ibadil
Abstract: This research aims to determine the form of cooperation development between the Unesa Faculty of Economics and Business and partners from various institutions both domestically and abroad in order to achieve a Faculty with… th a global reputation. The research method used is a qualitative method where data collection is carried out by conducting in-depth interviews, observation, documentation and Focus Group discussions. The results of this research show that the development of partnership cooperation between the Faculty of Economics and Business, Universitas Negeri Surabaya, Indonesia with domestic and foreign partners includes education, research and community service. Educational activities in the form of lecturer and student exchanges, seminars, proceedings, guest lectures, visiting lecturers/professors, curriculum benchmarking. Collaboration in the field of research takes the form of joint research, joint publication, joint editor and journal reviewer. Collaboration in the field of community service takes the form of outreach activities, training, mentoring and demonstration activities related to partner needs. So far this collaboration has shown a significant positive impact. The results of the research findings can add theoretical and methodological studies to the repertoire of scientific development regarding the study of the importance of collaboration in an organization, especially for higher education institutions. The contribution of this research adds to the study of the importance of cooperation, not only for the benefit of both parties but also for having an impact on the progress of institutions and society. Contribution for educational institutions, both formal and non-formal, to continue to build partnerships and to socialize the importance of cooperation to increase institutional progress, building more networks to strengthen cooperation. The practical implication of this research is that the Faculty of Economics and Business continues to strive for collaborative networks with the aim of increasing and strengthening collaboration networks in accordance with the vision and mission of the Unesa Faculty of Economics and Business. Priority programs in the context of achieving a global reputation can be used as main topics for collaboration with partners. This implication also adds to the study for educational and non-educational institutions that by collaborating, relationships are created to share knowledge, experience and resources to achieve common goals and contribute to the development of society and the nation.

Indonesia's Social Enterprise: Policy Challenges and Support Needs

Sebastian Billy Anggara, Irma Tsuraya Choirinnida
Abstract: This research investigates the policy landscape surrounding social entrepreneurship in Indonesia, encompassing legal and regulatory frameworks, government initiatives, and institutional support for social enterprises. The… e study is crucial as it addresses an understudied area, aiming to inform policymakers, foster collaboration, stimulate economic development, and promote sustainable growth. The methodology involved qualitative interviews with eight social entrepreneurs across Indonesia. Collected data was analyzed using content analysis techniques, facilitated by the MAXQDA platform. Findings indicate that despite social entrepreneurship being an emerging field in Indonesia, there is a notable lack of effective policies and regulations. Six of eight respondents perceived inadequate current regulatory support, and half cited financial challenges as a significant issue. Conversely, seven respondents acknowledged existing government assistance, suggesting a willingness to support the sector. Based on these results, key recommendations for the government to foster a supportive ecosystem include developing non-overlapping policies, implementing substantive policy changes, promoting useful policies, simplifying bureaucracy, and engaging in direct dialogue with social entrepreneurs. The research concludes that addressing these areas can empower social entrepreneurs to create lasting social impact. This study uniquely fills a gap by directly engaging social entrepreneurs, though future research should include government representatives for broader perspectives. 

The Role of Online Reviews as a Mediator in The Decision to Purchase Fashion Products at Shopee

Utami, Rizki Amalia, Soetjipto, Budi Eko, Wardana, Ludi Wishnu
Abstract: The development of digital technology has transformed consumer consumption patterns, particularly in the fashion industry, which is increasingly dominated by e-commerce platforms. Shopee, as one of the largest marketplaces… es in Southeast Asia, has become a primary choice for consumers when shopping for fashion products. One factor influencing consumer purchasing decisions is the availability of online reviews on the platform. This study aims to analyze the role of online reviews as a mediating variable in fashion product purchasing decisions on Shopee. Online reviews serve as a source of information that helps consumers evaluate product quality, seller reputation, and the level of satisfaction of previous users. The research method used was a quantitative approach, distributing questionnaires to Shopee consumers who had previously purchased fashion products. The collected data was then analyzed using a path analysis model to examine the direct and indirect relationships between factors influencing purchasing decisions. The results show that online reviews play a significant role as a mediator in the decision-making process. Consumers tend to trust other users' real-life experiences more than solely the seller's product description. Positive reviews increase consumer interest and confidence in a product, while negative reviews can delay or even cancel a purchase decision. These findings confirm that the presence of online reviews is not only a supporting factor but also serves as a bridge, mediating the relationship between consumer perceptions of a product and the final purchase decision. The implication of this research is that sellers on Shopee need to pay attention to product and service quality to generate positive reviews, thereby increasing purchase conversion rates.

The Influence of Content Marketing on Customer Loyalty: Case Study of Spotify

Luthfiyyah, Adinda Rizki, Rufaidah, Popy
Abstract: This study aims to examine the influence of marketing content dimensions—namely product content, service content, advertising content, and brand culture—on customer loyalty toward Spotify, which encompasses cognitive, affective,… , affective, conative, and action loyalty. A quantitative research approach was employed, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) and bootstrapping techniques, with data collected from 145 Spotify users through an online survey. The findings reveal that not all marketing content dimensions exert a significant impact on every facet of customer loyalty. Service content and brand culture emerged as the most influential factors in driving action and conative loyalty, whereas product content predominantly affected cognitive and affective loyalty. This research underscores the critical need for tailored content strategies to effectively foster specific types of customer loyalty within the digital streaming service context. The managerial implications of these results provide a foundation for developing more effective, user experience-oriented marketing content strategies.