An Empirical Study on the Impact of Resource Integration Capability on Value-Added of Service-Oriented Manufacturing Enterprises: — Based on Reliability and Validity Analysis

2021 ◽  
Author(s):  
Shuili Yang ◽  
Sixiang Wang ◽  
Yi Yang
Keyword(s):  
Empirical Study ◽  
Reliability And Validity ◽  
Value Added ◽  
Resource Integration ◽  
Validity Analysis ◽  
Manufacturing Enterprises ◽  
Service Oriented ◽  
The Impact

ASSESSMENT OF THE TECHNOLOGICAL TRANSFORMATION OF THE RUSSIAN MANUFACTURING INDUSTRY CONSIDERING THE DIGITAL FACTOR

2021 ◽  
Vol 5 (199) ◽  
pp. 44-53
Author(s):  
M.P. Kalinichenko ◽  
Keyword(s):  
Manufacturing Industry ◽  
Swot Analysis ◽  
Value Added ◽  
Subsequent Development ◽  
Digital Transformation ◽  
Added Value ◽  
Technological Transformation ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
The Impact

The purpose of the study is to assess the technological transformation of the manufacturing industry in Russia, taking into account the digital factor. The analysis of a set of methods that can be used to assess the impact of technologies on the digital transformation of economic systems (country, industry, region, industrial enterprise) is carried out; the results of a SWOT analysis of the Russian manufacturing industry for the medium term are presented (as an initial stage for the subsequent development of functional strategies of industrial enterprises-digital transformation, innovative, competitive, etc.); the results of a survey of experts on a sample of industrial enterprises of the Arkhangelsk region regarding barriers and prospects of digital transformation of manufacturing enterprises are summarized; an economic and mathematical model of the influence of production factors, including the digital factor, on the value added created by the manufacturing industry is developed. Based on the analysis and modeling of the formation of added value in the manufacturing industry, taking into account the contribution of each of the factors of production, a set of solutions is proposed, on the basis of which it is possible to give a new impetus to accelerate the digital transformation of the industry.

scholarly journals THE IMPACT OF BACKGROUND MUSIC ON THE DURATION OF CONSUMER STAY AT STORES: AN EMPIRICAL STUDY IN MALAYSIA

2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Keng-Lin Soh ◽  
K. Jayaraman ◽  
Li-Peng Choo ◽  
Shayan Kiumarsi
Keyword(s):  
Consumer Behavior ◽  
Empirical Study ◽  
Value Added ◽  
Background Music ◽  
Research Article ◽  
Fast Tempo ◽  
Shopping Experience ◽  
The Impact ◽  
The Relationship ◽  
Expect Value

Consumers spend more time shopping and expect value-added options like backgroundmelodious songs, ample car parking, good ambience, prayer halls and rest rooms. The mainconcern is whether these facilities prolong consumers stay in the store and increase businesssales. This research article is about the relationship between the background music tempo andthe duration of consumers’ stay in the stores. Data from 177 respondents were received andanalyzed. The results show that the tempo of music is significantly affecting the emotionalstate of the consumers; fast tempo music increasing the pleasure and arousal levels. Slowtempo music has consumers stay longer in restaurants and supermarkets. However, the tempoof music does not play a significant role in manipulating the duration consumers spend in abook store and apparel shop.Keywords: Background Music; Arousal; Consumer Behavior; Shopping Experience; Stimulus-Organism-Response (S-O-R) Model.

scholarly journals THE IMPACT OF CHEFS’ NATIONAL CUISINE PERCEPTIONS ON THEIR INTENTION TO PURCHASE LOCAL FOOD

2015 ◽  
pp. 495-508
Keyword(s):  
Regression Analysis ◽  
Sampling Method ◽  
Local Food ◽  
Reliability And Validity ◽  
Validity Analysis ◽  
Intention To Purchase ◽  
National Cuisine ◽  
The Cost ◽  
The Impact

The purpose of this study is to understand the role of chefs‘ perceptions of national cuisine in their intention to purchase local food. Data were collected through a survey instrument which includes individual scales for chefs‘ perceptions of national cuisine and their intentions to buy local food. 106 questionnaires were distributed to chefs attending to activities held by Turkish Chefs Federation in Antalya ANFAS Fairground between 26 and 28 February 2015. Within a convenient sampling method, 74 questionnaires were returned and 67 of these were included into the subsequent analyses. Following the reliability and validity analysis of the scales, the results showed that chefs perceived national cuisine in three domains as cost, labor and popularity, and the findings of regression analysis indicated that the cost dimension of national cuisine perception influenced chefs‘ intention to purchase local food.

scholarly journals The impact of research and development activity on the TFP level in manufacturing in Poland

Equilibrium ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 711-737 ◽  
Author(s):  
Elżbieta Roszko-Wójtowicz ◽  
Maria M. Grzelak ◽  
Iwona Laskowska
Keyword(s):  
Research And Development ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Value Added ◽  
High Tech ◽  
Factor Productivity ◽  
Development Activity ◽  
Manufacturing Enterprises ◽  
The Impact ◽  
The Relationship

Research background: The paper presents the issue of total factor productivity in the manufacturing industry in Poland. It has been assumed that total factor productivity (TFP) is a synthetic measure of efficiency of the production process and a measure of the impact of technical progress on the rate of economic growth. Purpose of the article: The main aim of the paper is to assess the differentiation in the level of total factor productivity (TFP) occurring among the Section C manufacturing divisions in Poland. In particular, the paper raises the issue of measuring and analysing the relationship between expenditure on research and development and the level of TFP in manufacturing divisions in Poland. Methods: In the presented research, the TFP level was determined by using the two-factor Cobb-Douglas production function, while econometric panel models were used to assess the studied relationship. Findings & Value added: The presented considerations show that manufacturing divisions in Poland are diversified in terms of total factor productivity. Generally, manufacturing divisions with high R&D intensity, i.e. divisions classified as so-called high-tech ones, are characterised by a high TFP level. The econometric analysis carried out allows us to conclude that expenditure on R&D incurred in manufacturing enterprises significantly affects the level of TFP.

State-of-the-art and adoption of artificial intelligence in retailing

2019 ◽  
Vol 21 (3) ◽  
pp. 264-279 ◽  
Author(s):  
Felix Dominik Weber ◽  
Reinhard Schütte
Keyword(s):  
Artificial Intelligence ◽  
Empirical Study ◽  
Design Methodology ◽  
State Of The Art ◽  
Value Added ◽  
Technological Systems ◽  
Content Type ◽  
Profit Margins ◽  
Scientific Databases ◽  
The Impact

PurposeIn the most abstract way, artificial intelligence (AI) allows human work to be shifted toward technological systems that are currently not fully capable. Following this, the domain of retail can be sketched as a natural fit for the application of AI tools, which are known for their high proportion of human work and concurrent low profit margins. This paper aims to explore the current dissemination of the application of AI within the industry. The value-added core tasks of retail companies are examined to determine the possible utilization and the market adoption within the globally largest retail companies is given.Design/methodology/approachThe paper uses two different approaches to identify the scientific state-of-the-art: a search on the major scientific databases and an empirical study of the ten largest international retail companies and their adoption of AI technologies in the domains of wholesale and retail.FindingsThe application within the different value-added core tasks varies greatly depending on the area. In summary, there are numerous possible applications in all areas. Especially, in areas where future forecasts are needed within the task areas (such as marketing or replenishment), the use of AI, today, is both scientifically and practically highly developed. In contrast, the market adoption of AI is highly variable. The pioneers have integrated extensive applications into everyday business, while the challengers are investing heavily in new initiatives. Some others, however, show neither active use nor any effort to adopt such technology.Originality/valueTo the best of the author’s knowledge, this is one of the first research contributions to analyze the areas of application and the impact of AI structured along the value-added core processes of retail companies.

An Empirical Study of the Impact of Intellectual Capital on Business Performance

2011 ◽  
Vol 10 (01) ◽  
pp. 11-21 ◽  
Author(s):  
Samuel Kai Wah Chu ◽  
Kin Hang Chan ◽  
Ka Yin Yu ◽  
Hing Tai Ng ◽  
Wai Kwan Wong
Keyword(s):  
Hong Kong ◽  
Empirical Study ◽  
Intellectual Capital ◽  
Business Performance ◽  
Value Added ◽  
Business Success ◽  
Financial Indicators ◽  
Structural Capital ◽  
Capital Efficiency ◽  
The Impact

This empirical study examines the intellectual capital (IC) performance of Hong Kong companies and its association with business performance. Data were collected from constituent companies of the Hang Seng Index listed on the Hong Kong Stock Exchange (2005–2008). An IC measurement, Value Added Intellectual Coefficient (VAICTM), was utilised to evaluate the IC investment of the companies. Four accounting ratios: market-to-book value (MB), return on assets (ROA), asset turnover (ATO) and return on equity (ROE) were used as the indicators of business performance. Regression analyses were conducted to test the ability of IC and its components in order to explain the variance in business performance measures. No conclusive evidence was found to support the associations between VAICTM as an aggregate measure and the four financial indicators. However, components of VAICTM were found to predict a substantial variance in business performance. Capital Employed Efficiency (CEE) was found to be a key factor in predicting business financial performance. Structural Capital Efficiency (SCE) was found to have a significant effect on businesses' market valuation, as measured by MB, and on profitability, as measured by ROE. Negative correlations were found between Human Capital Efficiency (HCE) and the financial indicators. The findings indicate a gap between the traditional accounting perspective and the value creation perspective, which is central to the VAICTM methodology in measuring IC. It is believed that the findings of this research provide insights for business stakeholders of Hong Kong companies in utilising IC, particularly the noted impact of structural capital. While our findings indicate the importance of IC for corporations, as shown by the significant effect of SCE on ROE, physical and financial assets may still be considered as the key resources in delivering business success.

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