MIX: JURNAL ILMIAH MANAJEMEN
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The Influence of Organizational Culture and Emotional Intelligence on the Employee Performance and with the Employee Engagement as the Mediating Variable
Full text linkObjectives: The objective of this study is to explore the influence of organizational culture and emotional intelligence on employee performance with employee engagement as a mediating variable.Methodology: This research involved the questionnaire survey of employees at a multi-finance company. The data collected was then analyzed with a structural model approach, using quantitative methods. The population in this study involved 240 employees at a multi-finance company in the Jakarta area.Finding: In the variable of Employee Engagement influenced by the variables of Organizational Culture and Emotional Intelligence, an R-Square value of 0.455 was obtained. This explains that the percentage of the predictor variables, Organizational Culture and Emotional Intelligence, can explain 45.5% of Employee Engagement. In the variable of Job Performance influenced by the variables of Organizational Culture, Emotional Intelligence, and Employee Engagement, an R-Square value of 0.380 was obtained. This explains that the percentage of the predictor variables, Organizational Culture, Emotional Intelligence, and Employee Engagement, can explain 38% of Job Performance.Conclusion: The results indicate that Organizational Culture and Emotional Intelligence in multifinance companies influence Employee Performance, and Employee Engagement has a mediating effect. This research has practical implications for multifinance companies in building Organizational Culture and Emotional Intelligence and increasing Employee Performance through Employee Engagement
Breaking the Subjective Bias: Rethinking the Talent Management Model in the Ministry of Home Affairs
Full text linkObjectives: The objective of this research is to address subjective elements in talent management assessment in civil service organizations, focusing particularly on the Ministry of Home Affairs. By investigating the effectiveness of the Sikerja application and proposing solutions to enhance objectivity, the study seeks to contribute practical insights for advancing talent management practices.Methodology: This research employed qualitative research, utilizing a case study approach. Through in-depth interviews with key personnel and a thorough literature review, data is collected and analyzed comprehensively.Finding: The study reveals significant shortcomings in Sikerja's ability to address subjectivity in performance appraisal at the Ministry of Home Affairs. It lacks rigorous testing and is influenced by personal biases, undermining its reliability. To develop a more effective talent management framework, the study proposes adopting a Data-Driven Decision-Making (DDDM) approach. This involves establishing an independent team to analyze performance data objectively, ensuring fairness and transparency. Finally, the study recommends developing a talent management model based on Berger's concept and data for continuous improvement.Conclusion: Developing a talent management model for the Ministry of Home Affairs requires an understanding of the current situation. The review of the Sikerja application highlights its limitations; subjectivity in assessments and the lack of scientific validation in its methods, which hinder its efficacy. Therefore, the author suggests adopting a Data-Driven Decision-Making (DDDM) approach in talent management. DDDM offers a robust solution by establishing an independent data analysis team, ensuring objectivity, and identifying areas for improvement. Integrating DDDM principles into all talent management stages will establish a framework promoting objectivity, transparency, and fairness, ultimately optimizing the workforce's potential
Factors Influencing Intention and Decision to Visit Gadang Clock Tower Tourist Object in Bukittinggi, West Sumatra
Full text linkObjectives: The objective of this study is to contribute to the existing body of literature regarding the decision-making process of visiting the Gadang Clock Tower tourist attraction. This will be achieved by examining aspects like travel motivation, electronic word-of-mouth (EWOM), eco-destination image, and intention to visit. There exists a dearth of scholarly research on Gadang clocks, particularly about their significance within eco-destinations. Consequently, there is a pressing need for further investigation in this area.Methodology: The data utilized in this study was obtained via a survey of tourists who were visiting the Clock Tower in Bukittinggi. The SEM is utilized in the assessment of validity, reliability, cross-loading, and t-statistics.Finding: The study found that the influence of electronic word-of-mouth and eco-destination images on tourists' intentions and visiting decisions at the Gadang Clock Tower was positive and significant. Therefore, it can be inferred that these elements play a crucial role in enhancing visitors' intentions and decisions.Conclusion: If the Clock Tower possesses a favorable eco-destination image, it is likely to attract a higher influx of tourists. Electronic word-of-mouth (e-WOM) has a substantial impact in influencing individuals' levels to encounter the clock tower. The number of visitors expressing an intention to revisit the Gadang Clock is expected to increase if they have a remarkable and memorable experience on their initial visit. Furthermore, the act of visiting the Clock Tower exerted a substantial impact on their subsequent inclination to revisit it
The Effect of Green Advertising on Environmental Attitudes and Purchase Intention in Buying Environmentally Friendly Products (Studies on Garnier Products)
Full text linkObjectives This study aims to determine green advertising on purchase intention in buying environmentally friendly products through mediating environmental attitudesMethodology: This research employed a causality research design, utilizing a quantitative approach. Data were collected through a questionnaire distributed via Google Forms to residents of DKI Jakarta. Sampling was conducted using the Non-Probability Sampling technique, specifically employing a purposive sampling method. The sample size for this study was 100 participants. Subsequently, the questionnaire responses were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, facilitated by SmartPLS 3.0 software.Finding: The results of this study found that Garnier’s green advertising and environmental attitudes had a positive and significant effect on purchase intentions in buying Garnier’s environmentally friendly product, and environmental attitudes had a positive and significant effect in mediating green advertising towards purchase intention in buying environmentally friendly product.Conclusion: The better implementation of green advertising increases consumer interest in buying environmentally friendly products, the higher the consumer's environmental attitude, and the greater the individual's interest in buying environmentally friendly products.
Exploring the Moderating Effects of Organizational Citizenship Behavior on the Relationship between Servant Leadership and Employee Performance with Employee Engagement as the Mediator
Full text linkObjectives: The objective of this research is to explore the moderating effect of organizational citizenship behavior on employee performance. Servant leadership is a leadership style that prioritizes serving others and promoting their well-being. It has been found to have positive outcomes such as employee engagement, organizational citizenship behavior, and employee performance.Methodology: The method used in this research is the quantitative research, with a population consisting of female employees. The sample comprised 310 female employees who were led by female leaders, and selected using simple random sampling. To explore the relationships among variables and incorporate mediating and moderating effects in the model, SEM-PLS was employed.Finding: Interestingly, when considering OCB as a moderating variable, different results were observed for direct and indirect effects. The indirect effect revealed that OCB had a positive and significant moderating effect on the relationship between servant leadership and employee performance, suggesting that OCB enhanced this relationship. Conclusion: However, when examining the direct effect of servant leadership on employee performance while moderated by OCB, a significant but negative association between these variables suggests weakened relationships. This finding suggested that OCB played a significant role in moderating the relationship between Servant Leadership and Employee Performance, emphasizing the need to recognize OCB as an essential factor in comprehending the impact of servant leadership on employee performance
How Important is e-WOM for an Agrotourism in Batu City? Second-order PLS-SEM Approach
Full text linkObjectives: The objective of this research is to compare the influence of each dimension (first-order e-WOM) with its second-order e-WOM. This research also examined how e-WOM can influence tourists' decision behavior and satisfaction in Batu City agrotourism. Methodology: This research was conducted using primary data in 2023. The population in this study consists of 119 respondents who have visited agrotourism in Batu City and obtained information about agrotourism from e-WOM on Social Networking Services. The data was processed using Warp-Partial Least Square (WarpPLS) 8.0.Finding: E-WOM has proven itself as a valuable source of information for tourists visiting agrotourism in the city of Batu. With the help of e-WOM, tourists can obtain more up-to-date insights into the conditions of agrotourism. Agrotourism operators also benefit since they receive free marketing from their tourists.Conclusion: Overall, this research results indicate a contrasting comparison between the first-order e-WOM model and the second-order e-WOM. Only two dimensions of e-WOM, namely the valence of opinion and content, have a direct influence on visitation decisions and tourist satisfaction. Additionally, this study demonstrates that all three dimensions of e-WOM collectively have a significant impact on tourist behavior. Second-order e-WOM has a more substantial impact on tourists in influencing their decisions and satisfaction levels
Exploring the Implementation of Entrepreneurial Values to the Young Farmers in West Java
Full text linkObjectives: The objective of this research is to study and explore the implementation of entrepreneurial values among young farmers in West Java and its relationship with empowerment programs, capital structure, self-reliance, and innovation in agriculture. Methodology: A sample of 103 young farmers from various districts in West Java participated in the study. Quantitative analysis, including descriptive statistics, reliability analysis, and path analysis using Smart PLS, was conducted to examine the relationship between entrepreneurial values, self-reliance in agriculture, and innovation in agriculture. Finding: The findings show that young farmers in West Java exhibit moderate levels of entrepreneurial values, with particular emphasis on initiative and creativity. In addition, the analysis shows a positive correlation between entrepreneurial values and empowerment programs, capital structure, self-reliance in agriculture, and innovation in agriculture. The analysis further confirmed that entrepreneurial values are significantly predicted by empowerment programs, capital structure, innovation, and self-reliance in agriculture among young farmers. This study also shows that self-reliance could directly predict entrepreneurial values without capital structure as an intervening variable. These findings highlight the importance of fostering entrepreneurial values among young farmers through empowerment program intervention, providing access to capital structure, promoting agricultural innovation, and encouraging their self-reliance. Policymakers and stakeholders in agriculture should focus on providing training programs and support mechanisms that can foster an entrepreneurial mindset and skills among young farmers in West Java.Conclusion: The need to promote entrepreneurial values among young West Java farmers by boosting empowerment programs, self-reliance, and agricultural innovation with the support of capital structure access. The agricultural sector may become more robust, flexible, and sustainable, boosting regional growth and wealth. Further research should examine how entrepreneurial ideals affect self-reliance and creativity in agriculture and how young farmers might adopt them
Economic Competitiveness of SMEs: Digital Literacy, The Mediating Role of Digital Transformation and Innovation Capability
Full text linkObjectives: The objective of this study is to predict and analyze the mediating role of digital transformation (DT) innovation capability (IC) and digital literacy (DL) on the relationship between digital literacy (DL) and economic competitiveness (CP) of SMEs, by proposing a model construction.Methodology: The survey method was carried out by distributing research instruments to 99 respondents, the collected data was used to analyze the relationship between digital literacy, digital transformation, innovation ability, and competitiveness, and also used to test hypotheses. Evaluation of predictions through structural equation models with partial least squares-structural equation modeling (PLS-SEM).Finding: DL directly has a significant positive effect on CP. DL has a significant positive influence on DT. DL has a significant positive effect on IC. DT has a significant positive effect on CP. DT has a significant positive effect on IC. DT and IC serially have a mediating effect on the effect of DL on CP, each moderately mediating effect. Conclusion: The results of model measurement and the results of the evaluation of model suitability show that model suitability is achieved and guarantees model suitability. The results of the structural model path analysis show that all hypotheses are accepted, DT and IC serially have a mediating effect on the influence of DL on the economic competitiveness of SMEs. The novelty findings of this research produce a model of the economic competitiveness of SMEs in the digital economy era, which involves DL, DT, and IC. The implication is that to improve the effectiveness of highly competitive businesses in this era, DL, digital competence and digital transformation capabilities of human resources (HRDT) among SMEs need to be carefully prepared, and IC must be improved
Analysis of Building Permit Processing Delays Using Fishbone Diagram, 5 Why-Why Analysis, and 5W+1H Method
Full text linkObjectives: The objective of this study is to analyze the impact of implementing structured quality management tools, specifically the Fishbone Diagram, Why-Why Analysis, and 5W + 1H method, on reducing project permit processing delays in the construction industry, with a focus on improving efficiency at the transportation industry.Methodology: This study uses a qualitative research approach, collecting data through interviews, document analysis, and direct observations within the transportation industry. The Fishbone Diagram, Why-Why Analysis, and 5W + 1H method were systematically applied to identify the root causes of permit processing delays and take strategic steps so that permit delays do not occur again.Finding: The findings reveal that the application of these structured quality management tools significantly reduces permit processing delays by improving coordination between authorities to obtain approval for additional time, supported by clear progress reports and justifications for the causes of delays.Conclusion: The study concludes that the integration of the Fishbone Diagram, Why-Why Analysis, and 5W + 1H methods in the permit processing workflow effectively addresses operational inefficiencies. Future research should expand on these findings by applying these methods across different companies and regions to improve the management of Building Construction permits so that the Company avoids losses due to project cost overruns
Prediction of Customer Engagement Response to E-wallet Content Based on Machine Learning Using Combined E-Wallet Dataset and Individual E-Wallet Dataset
Full text linkObjectives: The COVID pandemic proved that humans are not hesitant to adopt technology in the banking industry, especially as a method of payment. In Indonesia, this fact is demonstrated by the value of e-wallet transactions in 2021 which reached 18,5 billion USD. The implementation of QRIS (Quick Response Code Indonesian Standard) in the payment systems of e-wallets compels every e-wallet provider to intensify their marketing activities to overcome competitors. Previous studies on this topic primarily focused on factors that influence customer engagement on social media using traditional approaches, such as interviews and statistical methods to process the data. This research aims to overcome the limitations of previous research by using machine learning methods in predicting the customer engagement type of primary data collected directly from social media in this case Twitter.Methodology: In this paper, we propose the application of machine learning methods such as XGBoost, Random Forest, Decision Tree, and KNN to predict the most likely engagement type of a tweet related to e-wallet content using 15.756 data which are directly collected from Twitter.Finding: This research successfully found that XGBoost and KNN are the machine learning algorithms that perform best and the results in prediction from using the combined dataset and the individual e-wallet brands dataset are similar.Conclusion: Even though the prediction accuracy in this research is good, this research still has many limitations. Thus, future research in the same field would benefit from a larger amount of data to accommodate machine learning algorithms that are more complex like deep learning