Residents and Tourists as a Complementary Target Markets of Outdoor Event Organizes in Terms of Variable Weather Conditions. The Case of the Saint Dominic’s Fair in Poland

2021 ◽  
Vol 12 (4) ◽  
pp. 895
Author(s):  
Robert BĘBEN ◽  
Izabela DEMPC ◽  
Sylwia KUCZAMER-KŁOPOTOWSKA
Keyword(s):  
Weather Conditions ◽  
Base Station ◽  
Social Changes ◽  
Factors Affecting ◽  
Market Participants ◽  
Mobile Phone Base Station ◽  
Variable Weather ◽  
The Impact ◽  
The Relationship ◽  
Target Markets

The development of technology, climate change as well as the cultural and social changes cause people to change their behavior, modify priorities and adapt to the new situation. Effectiveness and competitiveness, therefore, require up-to-date information on the market participants and factors affecting their behavior. As such, the aim of this article is to illustrate the impact of the weather conditions on participants’ attendance at various urban outdoor events, crucial for a leisure market. The study presents the relationship between the number of residents and tourists visits at the St. Dominic’s Fair in Gdańsk during individual days of the event and the weather conditions (temperature, precipitation, and sunlight intensity). As one of the data illustration methods, mobile phone-base-station logs were used to analyze consumer behavior. The study proved varying behavior of the residents and the tourists participating in the same event under different weather conditions emphasize these two diverse target markets’ complementarities.

scholarly journals It’s the Weather: Quantifying the Impact of Weather on Retail Sales

2021 ◽  
Author(s):  
Natalie Rose ◽  
Les Dolega
Keyword(s):  
Weather Condition ◽  
Weather Conditions ◽  
Influential Factor ◽  
Retail Sector ◽  
Retail Sales ◽  
Weather Impact ◽  
High Street ◽  
Sector Decision ◽  
The Impact ◽  
The Relationship

AbstractThe weather is considered as an influential factor on consumer purchasing behaviours and plays a significant role in many aspects of retail sector decision making. As a result, better understanding of the magnitude and nature of the influence of variable UK weather conditions can be beneficial to many retailers and other stakeholders. This study addresses the dearth of research in this area by quantifying the relationship between different weather conditions and trading outcomes. By employing comprehensive daily sales data for a major high street retailer with over 2000 stores across England and adopting a random forest methodology, the study quantifies the influence of various weather conditions on daily retail sales. Results indicate that weather impact is greatest in the summer and spring months and that wind is consistently found to be the most influential weather condition. The top five most weather-dependent categories cover a range of different product types, with health foods emerging as the most susceptible to the weather. Also, sales from out-of-town stores show a far more complex relationship with the weather than those from traditional high street stores with the regions London and the South East experiencing the greatest levels of influence. Various implications of these findings for retail stakeholders are discussed and the scope for further research outlined.

scholarly journals Factors affecting the organizational performance of manufacturing firms

2017 ◽  
Vol 9 ◽  
pp. 184797901771262 ◽  
Author(s):  
Ahmad Adnan Al-Tit
Keyword(s):  
Organizational Performance ◽  
Measurement Instrument ◽  
Manufacturing Firms ◽  
Factors Affecting ◽  
Mediating Role ◽  
Values And Beliefs ◽  
The Individual ◽  
The Impact ◽  
The Relationship

Numerous studies have been conducted to explore the individual effects of organizational culture (OC) and supply chain management (SCM) practices on organizational performance (OP) in different settings. The aim of this study is to investigate the impact of OC and SCM on OP. The sample of the study consisted of 93 manufacturing firms in Jordan. Data were collected from employees and managers from different divisions using a reliable and valid measurement instrument. The findings confirm that both OC and SCM practices significantly predict OP. The current study is significant in reliably testing the relationship between SCM practices and OP; however, it is necessary to consider cultural assumptions, values and beliefs as the impact of OC on OP is greater than the impact of SCM practices. Based on the results, future studies should consider the moderating and mediating role of OC on the relationship between SCM practices and OP.

Research on the hydrographic survey cycle for updating navigational charts

2021 ◽  
pp. 1-13
Author(s):  
Jing Duan ◽  
Xiaoxia Wan ◽  
Jianan Luo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Calculation Model ◽  
Impact Factors ◽  
Factors Affecting ◽  
Material Resources ◽  
Hydrographic Survey ◽  
Survey Planning ◽  
The Impact ◽  
The Relationship

Abstract Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

scholarly journals Analyzing the Effect of the Senior Management’s Support on the Relationship between Factors Affecting and Employees’ Performance in the Al-Zawiya University of Libya

2017 ◽  
Vol 13 (3) ◽  
pp. 42
Author(s):  
Nasreddin Ramadhan Dukhan ◽  
Norhisham Mohamad ◽  
Asbi B Ali
Keyword(s):  
Likert Scale ◽  
Factors Affecting ◽  
The Mean ◽  
Multiple Groups ◽  
Strongly Agree ◽  
The Impact ◽  
The Relationship ◽  
Variable Performance

This study aims to test the influence of the senior management’s support as a moderating variable on the relationship between the independent factors (Training, Empowerment, Motivation and Communication) and the dependent variable (Performance of Employees). (SEM-AMOS) is used to test the impact of the moderating variable. Where it is depended on the method of sampling or analysis of what is known as multiple-groups analysis. The paragraphs of the senior management’s support variable are collected and divided into two groups according to the mean of the total paragraphs. In addition, according to the relative weights given to the paragraphs of the questionnaire, using a five- point’s Likert scale: 1= strongly disagree to 5 = strongly agree. The first group consisted of the grades less than the mean and it is considered as the group which is non-supporters of the existence of support. While the second group consisted of the grades higher than the mean and considered as the group which is a supporter of the existence of support. The study found that the model of study in the presence of the support of the senior management’s is appropriate for the second group and inappropriate in light of the lack of support by the senior management’s support for the first group.

The Impact of Foreign Language Learning Style on Strategies Preferences in Art Colleges

2014 ◽  
Vol 971-973 ◽  
pp. 2677-2680
Author(s):  
Di Jiao
Keyword(s):  
Foreign Language ◽  
Learning Styles ◽  
Language Learning ◽  
Learning Strategies ◽  
Learning Style ◽  
Foreign Language Learning ◽  
English Learning ◽  
Factors Affecting ◽  
The Impact ◽  
The Relationship

Factors affecting students’ English learning performances are always debated among language researchers. This research is carried out in art colleges to figure out the students’ preferences in learning styles and learning strategies as well as the relationship between them. Questionnaires have been applied and data have been dealt with by SPSS. This research has shown that students in the art college tend to be visual and individual learners, and thus they prefer to adopt metacognitive, memory and affective strategies.

scholarly journals On Selecting Approaches to Analysis of the Residential Property Market

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Natalya Kovalevskaya ◽  
Vladislav Tyunkov
Keyword(s):  
Real Estate ◽  
Residential Property ◽  
Property Market ◽  
Dual Nature ◽  
Factors Affecting ◽  
Market Participants ◽  
Consumer Interests ◽  
Private Investors ◽  
The Impact ◽  
Private Individual

The article examines the issues of developing the residential property market taking into account the specifics of real estate as an object of the economic analysis. It reveals the terms of implementing economic interest in investing in residential property, identifies the features inherent in the residential property market as investment and commodity markets. It analyses the dual nature of real estate which explains the development of investment and consumer interests of the residential property market participants. The article analyses the interrelation of «saving - investment - consumption» at the level of implementing private (individual) interests of economic subject. It makes a comparison of various investment assets in terms of their attractiveness for private investors, depending on various factors affecting the decision to invest. It analyses the terms that allow to fully disclose the investment or consumer aspects of the residential property market. It considers the impact of the governmental investment policy directed at supporting and promoting development aspects of the residential property market.

scholarly journals Analysis of Factors Affecting Thermodynamic Efficiency in Generation III+ PWR Nuclear Power Plants.

2017 ◽  
Vol 4 ◽  
pp. 141-154
Author(s):  
Marcus Vitlin ◽  
Miroshan Naicker ◽  
Augustine Frederick Gardner
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Rankine Cycle ◽  
Steam Temperature ◽  
Factors Affecting ◽  
Electrical Efficiency ◽  
Balance Of Plant ◽  
The Impact ◽  
The Relationship

Generation III+ reactors are the latest generation of Nuclear Power Plants to enter the market. The key evolution in these reactors is the introduction of stringent safety standards. This is done through thorough incident scenario analysis and preparation, resulting in the addition of novel active and passive auxiliary safety systems, affecting the power consumption in the balance of plant. This paper analyses the parameters of PWR power plants of similar design, to determine the parameters for optimal efficiency, regarding gross and net electrical output, determining the impact the balance of plant has on this efficiency. While two of the three main factors affecting the Rankine cycle – boiler pressure and steam temperature – behaved as theoretically expected, there was a notable point of departure with the third parameter – condenser pressure. The relationship between steam temperature and gross electrical efficiency was linear across all reactors but the relation between the steam temperature and the net electrical efficiency ceased to be linear for secondary loop steam temperatures above 290°C. The relationship between boiler pressure and both gross and net electrical efficiency was linear, proving the Rankine cycle. A relationship was not observed between the condenser pressure and either the gross or net electrical efficiency

scholarly journals Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Factors Affecting ◽  
Economic Output ◽  
Level Model ◽  
The Impact ◽  
The Relationship

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

scholarly journals The Impact of Labour Force Reduction on the Financial Performance of Manufacturing Companies

2018 ◽  
Vol 10 (2) ◽  
pp. 20
Author(s):  
Wadesango N. ◽  
Gwangwadza D. C. ◽  
Mhaka C. ◽  
Wadesango V. O.
Keyword(s):  
Financial Performance ◽  
Labour Force ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
The Past ◽  
Reduction Methods ◽  
Force Reduction ◽  
The Impact ◽  
The Relationship ◽  
Qualitative Literature

This study attempts to corroborate the impact of labour force reduction on financial performance of manufacturing companies in a developing country. Despite the on-going use of labour force reduction, literature and research on this approach continues to yield mixed results. This desktop research was therefore conducted with the aim of determining the impact of employing labour force reduction initiatives on financial performance of manufacturing companies. The study reviews the results and findings of empirical and qualitative literature on labour force reduction by previous scholars for a period of 6 years ranging from 2012 to 2017. The phenomenon of labour force reduction has facilitated the research and studies on the area in the past six years, with researchers reaching different conclusions on the practise’s effect on organisations. This has prompted the researchers of this study to critically study labour force reduction methods, factors affecting their success, employees’ reaction to the strategy, the practise effect on productivity and the relationship between labour force reduction and organisation performance. 

scholarly journals IFRS adoption and firms’ opacity around the world: what factors affect this relationship?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samuel Mongrut ◽  
Manuel Tello Marín ◽  
Maria del Carmen Torres Postigo ◽  
Darcy Fuenzalida O’Shee
Keyword(s):  
Design Methodology ◽  
Meta Analysis ◽  
Common Law ◽  
Content Type ◽  
Factors Affecting ◽  
Ifrs Adoption ◽  
Analysis Methodology ◽  
Moderating Factors ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to identify what are the moderating factors affecting the relationship between firms’ adoption of international financial and reporting standards (IFRS) and the firm’s opacity. Design/methodology/approach This study uses the meta-analysis methodology from Hunter et al. (1982) to find if the mere IFRS adoption reduces firm’s opacity and a meta-regression from Stanley and Jarrell (1989) to identify the moderating factors that may influence this relationship. Findings Contrary to previous studies, this study finds a low, negative and nonsignificant correlation between IFRS adoption and firms’ opacity, but this relationship depends on the geographical region. Using 34 results from 28 studies from different continents published between 2005 and 2018 this study finds that IFRS adoption reduces opacity in countries with common law (COML) and with more authorities’ oversight and power to enforce the rules. Originality/value This study finds two institutional commonalities between different previous studies that intend to assess the impact of the IFRS adoption upon firms’ opacity: the legal system and the authorities’ oversight power.

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