International Journal Administration, Business & Organization

Business English Literacy in Improving the Effectiveness of MSME Businesses

Nani Thamrin, Dadang Solihat; Vina Agustiana — Thu, 19 Sep 2024 11:22:35 +0000

This study examines the impact of Business English literacy on the effectiveness of Micro, Small, and Medium Enterprises (MSMEs). This study employs a qualitative research design to investigate the impact of Business English literacy on the effectiveness of Micro, Small, and Medium Enterprises. In today's globalized business environment, proficiency in Business English is crucial for MSMEs seeking to expand their market reach, engage in international trade, and enhance communication with global partners. The research explores how improved English literacy contributes to better business outcomes, such as increased sales, optimized marketing strategies, and more efficient operations. The study underscores the strong correlation between Business English skills and business success by analysing case studies and conducting surveys with MSME owners and employees. Investing in Business English training programs can significantly enhance the growth and competitiveness of MSMEs in the global market.

The Role of English Language Proficiency in the Global Economy and Business Communication

Vina Agustina; Nani Ronsani Thamrin; Erwin Oktoma — Thu, 19 Sep 2024 11:21:44 +0000

This research explores the role of English as a lingua franca in international business, focusing on its impact on business operations, economic communication, and cross-cultural interactions. The research objectives include understanding the relationship between English proficiency and business success, identifying common cross-cultural communication challenges, and exploring strategies to improve communication in global markets. Using a qualitative methodology, data was gathered through Semi-structured interviews conducted with 10 key informants, including 2 managers, 2 executives, and 6 employees from 2 multinational corporations and 2 small businesses that operate in global markets. Key findings indicate that higher English proficiency enhances business outcomes, while cross-cultural communication barriers often complicate international transactions. The study concludes that businesses should invest in language training to boost competitiveness and mitigate communication challenges in global operations.

The Role of English Language Skills in the Tourism Industry in the 4.0 Era in Kuningan District, West Java Province

Erwin Oktoma; Dadang Solihat; Rina Masruroh — Thu, 19 Sep 2024 11:21:14 +0000

Through communication media, English plays a significant role in the sustainable tourism sector with the goal of promoting foreign travel, service, effective communication between foreign visitors and tourism actors, and the surrounding community, all of which are ultimately related to the growth of local tourism in the industrial era's sustainable tourism sector. 4.0 Tourist actors need to be fluent in English, especially in the vernacular, which includes basic discussion, linguistic proficiency, and basic conversation. The purpose of this study is to investigate the advantages of English- speaking culture in West Java Province's sustainable tourism sector during the Industrial Era 4.0. Descriptive qualitative analysis is the analytical technique employed. This study demonstrates the necessity of English-speaking culture in Kunuingan District, West Java Province's sustainable tourism industry in the industrial era 4.0 in order to promote the province's local tourist destinations overseas, increase the number of foreign visitors, and facilitate English-language communication. The ability to speak effectively in English is crucial for both those who work in the tourism business and those who live near popular tourist sites.

The Influence of Leadership, Work Environment, Work Motivation on Work Discipline at PDAM Tirta Kamuning Kuningan District

Pupu Syaiful Rahmat, Dede Djuniardi, Deri Prayudi, Apria Ade Surya — Thu, 19 Sep 2024 11:19:53 +0000

The study aims to understand and analyze how leadership, work environment, and work motivation impact work discipline. This is a descriptive quantitative study aimed at examining influence among two or more variables. The variables in this research are leadership, work environment, and work motivation as independent variables, and work discipline as dependent variable. Data were analyzed using multiple linear regression analysis, t-tests, and F-tests. The result showed that leadership, work environment, and work motivation impact of work discipline by 73.6%. Leadership yield a positive and significant impact on work discipline, the work environment yield a positive and significant impact on work discipline, and work motivation yield a positive and significant impact on work discipline. In other words, the more effective the leadership, work environment, and work motivation, the higher the work discipline. Therefore, leadership, work environment, and work motivation need to be further improved in the future as these three factors can influence and enhance work discipline.

Prediction Analysis of Buled Bread Production Using Holt's Exponential Smoothing

Heru Budianto; Erlan Darmawan; Rio Andriyat Krisdiawan, Yasir Maulana — Thu, 19 Sep 2024 11:19:18 +0000

This research aim to Analysis of Buled Bread Production Using Holt's Exponential Smoothing. The number of loaves produced by Buled bread still uses estimates, causing the number of loaves produced to be excessive. The excess number of loaves produced increases production costs, which can cause losses. The method broadcast in forecasting is Holt's exponential smoothing because the data displayed shows an increasing trend that is not affected by the season. The calculation process uses Microsoft Excel and add-ins. The results of the calculation produce a Mean Absolute Percentage Error (MAPE) value of 3.58% so that it can be used to forecast production data in the following month. The value of α = 0.8808 and the value of β = 0.042 are the best values based on calculations using the Solver Add-in. Based on these parameter values, predictive data is produced for each week in the following month.