Detecting Early Signs of Overtourism: Bringing Together Indicators of Tourism Development With Data Fusion

Tourism is a powerful economic driver for communities, but there are dangers of overtourism in tourism-dependent destinations. The study proposes an approach to detect early signs of overtourism by integrating census and industry data with residents’ perceptions of tourism benefits. The indicators include industry performance, its economic impacts, and indirect measures related to quality of life. The public perceptions are collected through surveying four different tourism-dependent communities in Florida. We found that in general local residents are highly positive about the tourism industry benefits to their communities, yet many respondents would like the tourism levels reduced. Especially concerning are negative sentiments toward tourism among the younger population groups and racial minorities. The findings are interpreted as early signs of overtourism.

Impact of Manufacturing Industry Performance on Economic Growth of Bosnia and Herzegovina in the pre-COVID-19 Period

In this research, our primary goal is to examine the impact of specific performance of the manufacturing industry on the economic development of Bosnia and Herzegovina. In view of the above, we examine the factors that are considered relevant and that have an impact on economic development, namely the gross domestic product of Bosnia and Herzegovina. Some specific performance of the industry can be reflected through the number of companies, the number of employees in the industry, the amount of exports, as well as investments within the manufacturing industry. The analysis is based on the collected quantitative data published in bulletins, releases and publications of statistical organizations in Bosnia and Herzegovina for the manufacturing industry over a period of five years (2015-2019). In accordance with the mentioned topic, a research model with essential variables, four independent variables (number of companies, number of employees, volume of exports within the industry) and one dependent variable (gross domestic product) were developed. This research will give us the results as well as insight into the specific performance of the processing industry that affects one of the most important indicators of economic development, that is, the gross domestic product of Bosnia and Herzegovina. The results that will emerge from this research will serve as a good basis for further research that could treat this topic with somewhat more identified variables. Also, it is expected that the results of this research will be useful to economic policy makers in Bosnia and Herzegovina, potential investors in some sectors of the manufacturing industry, but also educational institutions as generators of adequate staff.

The Impact of Strategic Alignment between Resources to Enhance Malaysia's Biomass Industry Performance: A Resource-Based View (RBV) Approach

Malaysia's biomass industry has a great potential to contribute to the national circular economy that offers a new stream of wealth creation to the nation. Nevertheless, there appears to be a scarcity of research that dwells on the biomass industry's organisational performance. Therefore, this study employed a secondary data analysis methodology to investigate the factors related to organisational performance. The findings from this study illuminated the effects of human resource management, organisational innovation and organisational culture on organisational performance. The pivotal contribution of this study is to highlight how these factors/resources influence organisational performance. Also, this study integrates resource-based view (RBV) theory and dynamic capabilities theory to delve into the realm of organisational performance in the biomass industry.

ANALISIS KINERJA DAN STRATEGI PENGEMBANGAN USAHA PADA ROSE FLORIST DI BANDAR LAMPUNG

This study aims to analyze the existing performance of the Rose Florist agro-industry and formulate the business development strategy. This research uses a case study method with three respondents consisting of business owner, an employee of the business, and an UMKM officer. Data collection was carried out in April-May 2020. Data analysis uses cash flow and SWOT. The results showed that the Rose Florist Agroindustry has a good financial performance. There was an increase in cash of 9,538,729.17 from the cash flow statement, from the first period of IDR 153,249,128.57 to the second period of IDR 162,787,857.74. The development strategies that can be used in the development of the Rose Florist Agroindustry are to make quality flower arrangements, to add business signposts in business locations, and to train the workers on good management and better skills. Keywords: agro-industry, performance, Rose Florist, strategy

CROBEX AND INDUSTRY PERFORMANCE IN THE CASE OF CROATIA: EVIDENCE FROM WAVELET COHERENCE

Determinants of the stock market index movement have always been of interest to scholars and practitioners. Various time series techniques have already been applied to determine the relationship between the stock market prices and macroeconomic variables. Many of these techniques are unable to reveal the frequency and time dependent relationship often leading to incorrect specification. Furthermore, results may differ depending on the level of the economic development. This paper is using the Wavelet coherence as a rather novel approach compensating for some limitations of the conventional approach bringing further insight into the stock market price movement of the Croatian capital market. Wavelet transform enables observation of the connection between the CROBEX and the industry performance across time and frequency domain. This relationship is tested using monthly data for CROBEX and industrial production index volume in the period from January 1998 to September 2019. Significant positive relationship was confirmed in the period from 1998 to 2015 identifying CROBEX as the leading variable.

Optimisation of structural parameters of the industry by the criterion of product innovation

The industrial sector of the Polish economy plays an important role in ensuring the socio-economic development of the country. The Polish industry accounts for 24.1 % of the country’s employed population and 25.1 % of the GVA. The article aims to model the structural parameters of the Polish industrial sector according to the criterion of increasing product innovation level based on a comprehensive assessment of the Polish industry performance in the regional context. The offered method focuses on estimating the industrial sector at the macro and meso levels using a set of indicators for investment, innovation, labour activity, and profitability. Correlation-regression analysis methods were used to prove hypotheses about the impact of product innovation on employment and wages in the industry. To optimise the structure of the Polish industrial sector, an economic-mathematical model was developed, which was solved using the linear programming method. The target functionality of this model is the level of product innovation, at which the gross average monthly wage of Polish industry workers will double (to the EU average). The simulation results, which was based on data from the Central Statistical Office of Poland, provide an analytical basis for selecting industrial policy benchmarks for Poland.