Journal The Winners

Is it Impossible for Generation Z to Engage in Mindful Consumption Behaviour While Experiencing Fomo?

2024-10-21T02:47:40+00:00

FOMO is often employed as an effective marketing strategy to increase excessive consumption behavior among Generation Z. However, over-reliance on FOMO strategies poses a threat to marketers, as excessive exposure to information on social media can lead to social media fatigue, which may hinder the development of mindful consumption behaviour. This research aimed to examine the relationship between fear of missing out (FOMO), social media fatigue (SMF), mindfulness, and mindful consumption behaviour (MCB) in Generation Z. This research adopted an empirical approach through quantitative analysis. The proposed theoretical model was empirically tested using primary data collected by a self-designed structured questionnaire. The research sample comprised individuals aged between 13 and 25, as this demographic is the most active user on social media. The model was empirically tested using structural equation modelling applied through partial least squares (PLS) software. The findings reveals the significance of FOMO in influencing social media fatigue, mindfulness, and mindful consumption behaviour in Generation Z. FOMO is confirmed as a predictor of consumption behavior, specifically mindful consumption behavior. Also, FOMO is found to have a significant correlation with social media fatigue, which is due to the excessive exposure to various information on social media by Generation Z.

Fintech P2P Lending in Increasing People's Purchasing Power in South Sulawesi Province

2024-11-01T03:50:42+00:00

This research aimed to assess the extent to which fintech P2P lending contributes to the generation of purchasing power in South Sulawesi Province. Data were collected from websites associated with fintech P2P lending and analyzed using software designed for indexing, searching, and handling non-numerical and unstructured data. The findings indicate that the availability of online loans positively impacts economic growth in South Sulawesi. During the final seven months of 2023, the average monthly distribution of peer-to-peer (P2P) lending funds reached IDR 19.04 trillion. The total distribution within the industry amounted to IDR 20.38 trillion, with IDR 7.26 trillion (35.65 percent) allocated to the productive sector, including micro, small, and medium-sized enterprises (MSMEs). This research contributes to the field by observing a 30.17 percent increase in credit in South Sulawesi Province. In February 2024, individual credit distribution in South Sulawesi reached IDR 1.29 trillion, based on 355,948 credit transactions. Fintech P2P lending helps improve financial literacy and inclusion in the South Sulawesi region by providing an easy-to-use digital platform to reach people in remote areas and support more equitable economic development. The contribution of fintech P2P lending plays an important role in increasing people's purchasing power while strengthening the foundation of the local economy in South Sulawesi.

Evaluating the Implementation of Balanced Scorecard in Employee Performance Appraisal

2024-11-19T03:45:29+00:00

One well-known performance assessment approach is the balanced scorecard (BSC), which evaluates financial and non-financial performance aspects. Although BSC has been widely used in the private sector, its implementation in the public sector presents unique challenges. This research examined the implementation of BSC at Perum Perhutani, an Indonesian state-owned company that manages forest resources. This research focused on the implementation of BSC in the Human Resources (HR) division. Even though BSC has succeeded in improving overall performance assessment, there are still obstacles to employees' understanding of the BSC concept, which causes employees to be confused when interpreting performance indicators. Apart from that, performance assessments are still affected by subjective assessments and a lack of specific and clear indicators. This research proposes the integration of Objectives and Key Results (OKR) to increase the clarity and alignment of performance indicators. By employing NVivo 12 for analysis, this research contributes to the literature regarding BSC implementation in developing countries, especially in the public sector, offering new insights to improve performance management practices in Indonesia.

Decoding Entrepreneurial Intentions among University Students in the Digital Age: A Machine Learning Approach to Leadership and Attributes

2024-12-09T04:33:21+00:00

Leadership and personal attributes have significant roles in leading a successful business organization. Meanwhile, a new perspective in leadership and entrepreneurship research is how the pattern of leadership and personal attributes contribute to entrepreneurial intention. To fill the gap and explore the pattern, this research examines the role of leadership and personal attributes in shaping entrepreneurial intention. This research employs a mixed-method approach, combining exploratory analysis and machine learning techniques. Data were collected from 127 entrepreneurial students in West Java, Indonesia. Moreover, data were collected using a web-based questionnaire consisting of 38 indicators that reflect the five variables (motivation, expectation, risk resistance, negative attitudes, and leadership). The collected data were proceeded using exploratory factor analysis to test the reliability of each indicator and analyzed using a decision tree model to identify critical factors influencing entrepreneurial intention. The research findings reveal that negative attitudes are crucial in determining entrepreneurial intention, followed by motivation and leadership. This research explains how these attributes interact to influence entrepreneurial decisions. This research gives insight into improving the effective development program that fosters the key attributes by reducing negative attitudes. This research also contributes to the broader field of leadership and entrepreneurship, offering an understanding of the role of personal attributes and leadership in driving entrepreneurial action.

Assessing System Quality and Change Readiness in Enterprise Risk Management Application Adoption in Power Plants

2024-10-11T03:07:26+00:00

Real-time and accurate risk management data is critical in making informed corporate decision-making. An Enterprise Risk Management (ERM) application enhances data access speed and accuracy, supporting strategic actions. Developed with an integrated risk and technology management approach, this application aids in effective risk management in operational power plants facing complex, high-risk challenges. It offers a structured framework for identifying, assessing, and managing risks, ultimately enhancing operational efficiency, effectiveness, and safety. This research examined the impact of system quality and readiness to change on the perceived usefulness, perceived ease of use, and behavioral intentions toward ERM applications. Data were gathered from 300 risk management professionals through purposive sampling. Then, the data were analyzed with PLS-SEM using a quantitative survey-based approach. The finding reveals that system quality and readiness to change significantly influence perceived usefulness and ease of use, which subsequently affect behavioral intentions. Interestingly, perceived usefulness does not directly impact behavioral intentions, emphasizing the critical roles of system quality and user readiness in ERM adoption. These finding underscores organizations' need to enhance the technical aspects of ERM applications and implement effective change management strategies to improve user engagement and adoption rates. The originality of this research resides in its integrated approach, merging system quality and readiness to change within the TAM framework, offering a deeper understanding of the factors driving ERM application acceptance. This research provides valuable insights for standardized frameworks, financial incentives, and tailored training programs to boost technology adoption.

Digital Technology's Role in Sustainable Business Models and Performance Enhancement

2024-11-21T06:59:40+00:00

This research investigated the role of digital technology in enhancing sustainable business models, collective intelligence, and scaling to improve business process performance. Conducted as qualitative research, it employs a Systematic Literature Review (SLR) method, analyzing 20 Scopus-indexed journals ranked in Quartile 1 (Q1) to Quartile 2 (Q2) from 2019 to 2024. The data were processed using content analysis, focusing on digital technologies such as big data, the Internet of Things, cloud computing, cyber-physical systems, machine learning, artificial intelligence, and digital platforms. The findings demonstrate that digital technology supports businesses in understanding evolving customer needs, facilitating efficient and accurate decision-making, and enhancing customer engagement, which is crucial for business growth and scalability. Key benefits include improving customer experience, segmentation, retention, and engagement, reducing operational costs, increasing team collaboration, and evaluating environmental risks. These advantages give businesses a competitive edge by fostering sustainable practices and effective customer engagement. The advantages of implementing digital technologies can be felt from various economic, social, and environmental aspects. However, the research acknowledges limitations, including restricted data collection due to limited relevant research and variations in technological literacy across regions. Despite these challenges, the research underscores the transformative role of digital technology in advancing sustainable and competitive business processes.

The Role of AI, IOT, and E-Marketing in Enhancing the Sustainability and Competitiveness of MSMES

2024-11-11T03:30:01+00:00

This study examines how the integration of Artificial Intelligence (AI), the Internet of Things (IoT), and e-marketing can enhance the sustainability and competitiveness of Micro, Small, and Medium Enterprises (MSMEs). It addresses the gap in existing literature regarding the synergistic effects of these technologies in overcoming resource constraints often faced by MSMEs during digital transformation. While previous research has focused on the individual benefits of AI or IoT, limited attention has been given to their combined impact on e-marketing and its influence on MSME sustainability. Using a quantitative approach, this study surveyed 200 MSMEs in Denpasar City through a Likert-scale-based questionnaire, analyzed with PLS-SEM version 4.0. Findings reveal that AI improves access to e-marketing channels and operational efficiency, while IoT enhances data analytics and automates business processes. Their integrated adoption significantly boosts digital marketing performance, thereby positively affecting MSME sustainability. Challenges identified include the high costs and expertise required for effective implementation. Nonetheless, with appropriate investment and technical support, the synergy of AI, IoT, and e-marketing can make MSMEs more sustainable. From a managerial perspective, the long-term integration of these technologies into business strategies is critical for sustaining growth in the digital era.