scholarly journals gray-market, gray-market products, brand image, price consciousness, price-quality inference, risk averseness.

2021 ◽  
pp. 124-134
Author(s):  
Syed Muhammad Maqsood ◽  
Yasir Ali Soomro
Keyword(s):  
Brand Image ◽  
Developing Economies ◽  
Positive Impact ◽  
Simple Random Sampling ◽  
Data Set ◽  
Probabilistic Sampling ◽  
Price Consciousness ◽  
Gray Market ◽  
Two Factors ◽  
The Impact

This study aims to determine the factors of consumer willingness to buy gray-market goods. The authors considered the impact of gray-market products on the product's brand image through Pakistan's empirical evidence. This study included three factors of gray goods: price consciousness, price-quality inference, and risk averseness and to check their impact individually and collectively on brand image. A field survey was conducted in this study to check the respondent's behavior toward gray markets and its impact on their brand image. The respondents of this research were those individuals who were habitual buyers of gray-market perfume products. Therefore, the population size was large enough to apply the probabilistic sampling method of Simple Random Sampling. The sample size of 350 was determined adequately. Hence, 350 respondents were asked to fill the questionnaire. The instrument of this study was self-developed. The close-ended questions by a Likert scale (7 points) were used to collect quantitative data. The internal consistency of the data was checked through the «Cronbach's Alpha» value. Hence, Cronbach's alpha's value was 81.7%. It was more than 70% threshold and showed the data was reliable and internally consistent for further data analysis. Regression analysis was performed on the data set to test the significance of hypothesized hypothesis. The result indicated that overall, there was a significant positive impact of gray-market goods on the companies' brand image. This study concluded that price consciousness did not significantly impact the purchase of gray goods. Thus, consumers are not price-sensitive, particularly in the Pakistan market. At the same time, gray goods impact the brand image in the Pakistani context. Simultaneously, the price-quality and risk averseness factors of gray goods a concern. These factors showed that companies' brand image is affected negatively. The policy and market regulators must consider the two factors pointed out in this research to mitigate the problem of gray-market goods in the developing economies.

scholarly journals THE IMPACT OF BRAND IMAGE, SALES PROMOTION, SERVICE QUALITY TOWARDS CUSTOMER SATISFACTION AND ITS IMPLICATIONS ON CUSTOMER LOYALTY AT X DEPARTMENT STORE KOTA KASABLANKA JAKARTA

2020 ◽  
Vol 2 (2) ◽  
pp. 267-278
Author(s):  
Adityo Jati Prabowo ◽  
Arifin Sitio
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Positive Impact ◽  
Sampling Technique ◽  
Department Store ◽  
Simple Random Sampling ◽  
Sales Promotion ◽  
The Impact

This research had goal to discover those impact from Brand Image, Sales Promotion, Service Quality on Customer Loyalty with Customer Satisfaction as intervening variable which occured at X Department Store Kota Kasablanka Jakarta. The number of respondents was 100 respondents which obtained by simple random sampling technique. This research used path analysis with assist of IBM SPSS Statistics version 25 program. The results had shown that brand image, sales promotion, service quality had significant positive impact on customer loyalty by customer satisfaction as intervening variable at X Department Store in Kota Kasablanka Jakarta.

scholarly journals A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy
Keyword(s):  
International Trade ◽  
Structural Breaks ◽  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Data Set ◽  
Price Series ◽  
Long Run ◽  
Starting Point ◽  
The Impact

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.

Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia

2022 ◽  
Author(s):  
Nabeel Durrani ◽  
Damjan Vukovic ◽  
Maria Antico ◽  
Jeroen van der Burgt ◽  
Ruud JG van van Sloun ◽  
...  
Keyword(s):  
Deep Learning ◽  
Class Imbalance ◽  
Ultrasound Images ◽  
Pleural Effusions ◽  
Data Set ◽  
Label Noise ◽  
Set Size ◽  
Video Frames ◽  
Two Factors ◽  
The Impact

<div>Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high labelling effort. This effort in practice becomes prohibitive for large ultrasound datasets. To understand the impact of various degrees of labelling precision, we compare labelling strategies to train fully supervised models (frame-based method, higher labelling effort) and inaccurately supervised models (video-based methods, lower labelling effort), both of which yield binary predictions for LUS videos on a frame-by-frame level. We moreover introduce a novel sampled quaternary method which randomly samples only 10% of the LUS video frames and subsequently assigns (ordinal) categorical labels to all frames in the video based on the fraction of positively annotated samples. This method outperformed the inaccurately supervised video-based method of our previous work on pleural effusions. More surprisingly, this method outperformed the supervised frame-based approach with respect to metrics such as precision-recall area under curve (PR-AUC) and F1 score that are suitable for the class imbalance scenario of our dataset despite being a form of inaccurate learning. This may be due to the combination of a significantly smaller data set size compared to our previous work and the higher complexity of consolidation/collapse compared to pleural effusion, two factors which contribute to label noise and overfitting; specifically, we argue that our video-based method is more robust with respect to label noise and mitigates overfitting in a manner similar to label smoothing. Using clinical expert feedback, separate criteria were developed to exclude data from the training and test sets respectively for our ten-fold cross validation results, which resulted in a PR-AUC score of 73% and an accuracy of 89%. While the efficacy of our classifier using the sampled quaternary method must be verified on a larger consolidation/collapse dataset, when considering the complexity of the pathology, our proposed classifier using the sampled quaternary video-based method is clinically comparable with trained experts and improves over the video-based method of our previous work on pleural effusions.</div>

Capital and credit constraints in the engagement of youth in Ghanaian agriculture

2019 ◽  
Vol 80 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Monica Owusu Acheampong
Keyword(s):  
Positive Impact ◽  
Credit Constraints ◽  
Rural Youth ◽  
Unique Contribution ◽  
Switching Regression ◽  
Credit Constraint ◽  
Data Set ◽  
Content Type ◽  
Application Procedure ◽  
The Impact

Purpose The purpose of this paper is to determine the factors influencing rural youth farmers’ credit constraints status and the effect of credit constraint on the intensity of participation of these farmers in Ghana. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2018 from the Brong Ahafo region in Ghana. The sample data set consists of 450 rural youth farmers. The collected data were analyzed through different econometric techniques, using the endogenous switching regression model (ERSM). Findings The direct elicitation approach employed in this study revealed that out of the 450 farmers, 211 (47 percent) of the respondents were credit constrained compared to 239 (53 percent) of their counterparts who were unconstrained. The ERSM indicated that youth farmers education, age, savings, parents occupation reduced the probability of the rural youth farmer to be credit constrained but cumbersome loan application procedure and loan disbursement time positively affect credit constraint. Moreover, farmers that are credit constrained have lower intensity of participation in agriculture activities than a random farmer from the sample. This suggests that access to credit has a positive impact on the intensity of participation in agriculture activities. Research limitations/implications In this study, only rural youth farmers in a particular region were considered. However, there are youths all over the nation. Therefore, future researchers could consider other youth’s farmers elsewhere in the country. Originality/value Although existing studies have examined rural youth farmers’ participation in agriculture and credit constraint separately, the unique contribution of this paper is the analysis of credit constraint of rural youth farmers as well as the impact of credit constraint on the intensity of participation in agriculture activities.

scholarly journals Customer satisfaction and customer loyalty in Vietnamese mobile telecommunication industry

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Trinh Kim Hoa ◽  
Luu Thi Bich Ngoc
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Positive Impact ◽  
Telecommunication Industry ◽  
Mobile Telecommunication ◽  
Price Perception ◽  
The Impact ◽  
Mobile Telecom

This study was aimed at investigating three factors (service quality, brand image and price perception) and assessed the degree of the impact of each factor on customer satisfaction, especially the relationship between customer satisfaction and customer loyalty in Vietnamese mobile telecom sector where there have been the existence of the fierce competition, mature market and internationally integrated economy, ultimately struggling for market share and survival. The results indicated that each factor (service quality, brand image, price perception) has a positive impact on customer satisfaction at the different level as well as a significantly positive relationship between customer satisfaction and customer loyalty in mobile telecommunication industry in Vietnam. The results of this study are consistent with the findings and evidence in the extant literature. The study provides the important feedback from customers to mobile telecom suppliers. Research findings are expected to be marketing insights for Vietnamese mobile telecom managers so that they can develop the sound marketing strategies in today’s competitive and costly market.

R&D volatility and market value: the role of executive overconfidence

2019 ◽  
Vol 14 (2) ◽  
pp. 411-431
Author(s):  
Benlu Hai ◽  
Qingzhu Gao ◽  
Ximing Yin ◽  
Jin Chen
Keyword(s):  
Business Performance ◽  
Positive Impact ◽  
Market Value ◽  
Data Set ◽  
Content Type ◽  
Dynamic Perspective ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose Significant increase or decrease in research and development (R&D) expenditure may have an immense impact on market value. Based on the punctuated equilibrium theory, this paper aims to empirically analyze the impact of R&D volatilities on market value and the moderating effect of executive overconfidence. Design/methodology/approach The study uses the panel data set that covers 902 Shanghai and Shenzhen A-share manufacturing listed firms and multiple regression method to test the theoretical hypotheses. Findings The results show that both positive and negative R&D volatilities have a robust and significant positive impact on the market value. Further analysis shows that the executive overconfidence positively moderates the relationship between R&D volatilities and market value. Research limitations/implications In a rapidly changing and highly competitive environment, firms should recognize that the balance of innovation strategies will help to bring higher market value. Furthermore, firms could improve corporate governance to make the best of managerial characteristics, such as overconfidence, on the innovation decision-making process. Originality/value By pushing the static perspective to a dynamic perspective and empirically documenting the role of executive overconfidence, this study contributes to the literature on the relationship between R&D expenditure and market value, generating theoretical and practical insights for firms to improve innovation governance and innovation strategies to achieve better business performance.

PARTICIPATIVE STRATEGIC PLANNING AND INNOVATION CAPABILITY: MODERATING ROLE OF IDEATION STRATEGY

2019 ◽  
Vol 24 (07) ◽  
pp. 2050066
Author(s):  
BAHRAM JABBARZADEH KARBASI ◽  
HOSSEIN RAHMANSERESHT
Keyword(s):  
Strategic Planning ◽  
Developing Economies ◽  
Positive Impact ◽  
Innovation Capability ◽  
Promotion Focus ◽  
Top Managers ◽  
Participative Strategic Planning ◽  
The Impact ◽  
Moderating Role

Enriching the limited knowledge and research on linkage between strategic management, human resource and innovation in developing economies, this paper focuses on the role of participative strategic planning (PSP), promotion focus and flexible role orientation (FRO) on innovation capability in Iranian SMEs. Furthermore, the moderating role of ideation strategy will be investigated. A total of 252 samples were collected from Iranian SME managers and employees in the different sectors through a quantitative method. A questionnaire was used for the data collection, and AMOS-SEM was employed for data analysis. The results indicate that PSP has a positive and significant impact on promotion focus, FRO, and innovation capability. In addition, it is shown that ideation strategy moderates the impact of promotion focus and FRO on innovation capabilities. Given the positive impact of PSP on promotion focus, FRO, and innovation capability, it is suggested that SME’s top managers use staff and managers with different levels in strategic planning processes and long-term organisation goals.

scholarly journals The Interaction Effect between ESG and Green Innovation and Its Impact on Firm Value from the Perspective of Information Disclosure

2020 ◽  
Vol 12 (5) ◽  
pp. 1866 ◽  
Author(s):  
Fen Zhang ◽  
Xiaonan Qin ◽  
Lina Liu
Keyword(s):  
Interaction Effect ◽  
Firm Value ◽  
Information Disclosure ◽  
Positive Impact ◽  
Substitution Effect ◽  
Green Innovation ◽  
Two Factors ◽  
High Level ◽  
The Impact ◽  
Quantile Regression Method

Few studies have been conducted on whether the coexistence of green innovation and corporate social responsibility (CSR) has a favorable interaction effect on firm value. This interaction effect is of great significance for enterprises balancing resource allocation between two factors in the future. Meanwhile, information disclosure can reflect the efforts of enterprises in taking on CSR. Therefore, taking China’s listed companies as an example, this paper studies the interaction effect of CSR after being divided into the three different dimensions of environment, society, and governance (ESG) and green innovation on firm value. The quantile regression method can reflect the impact of CSR and green innovation on the firm value of different levels. The study finds that: (1) green innovation can promote the improvement of medium- and high-level firm value; (2) only the disclosure of environmental and social information can have a positive impact on firm value; (3) the interaction effect between green innovation and social disclosure on firm value is a substitution effect, which will gradually weaken with the increase of firm value. This paper proposes that relevant departments should guide green funds into enterprises with capital constraints to alleviate the issue of fund crowding into CSR and green innovation.

Bridge and redundant ties in networks: the impact on innovation in food SMEs

2015 ◽  
Vol 18 (3) ◽  
pp. 355-379 ◽  
Author(s):  
Ghasem Shiri ◽  
Loïc Sauvée ◽  
Zam-Zam Abdirahman
Keyword(s):  
Empirical Research ◽  
Positive Impact ◽  
Process Innovation ◽  
Innovation Activity ◽  
Data Set ◽  
Content Type ◽  
Wide Range ◽  
Product And Process Innovation ◽  
Product And Process ◽  
The Impact

Purpose – The purpose of this paper is to study the impact of networks diversity on innovation activity of firms. It aims to review the structural issue in innovation networks and to distinguish different structures of networks for product and process innovation through an empirical research. Design/methodology/approach – Using a data set of 348 European agri-food firms, the authors study the impact of bridge and redundant ties on product and process innovation of firms. This is an empirical research based on an online survey in five European countries. Findings – The finding shows that bridge ties (measured by the number of heterogeneous networks in which firm participate) always facilitate product innovation in firms. The authors found also that a high number of heterogeneous ties in term of partners (simultaneous presence of redundant and non-redundant ties) motivate both product and process innovation in firms. Furthermore, the authors found a positive impact of network competence on process innovation. Research limitations/implications – The measures of bridge ties and redundant ties are indirect measures. This choice is a willing choice. Direct measurement of bridge and redundant ties always requires in-depth interviews with firms managers and thereby are limited by the number of observations. Originality/value – Research on innovations networks are dominated by case studies and researches with limited number of observations. Studying the networking behaviour, particularly the tie selection, of a wide range of firms brings additional knowledge in this field of research.

Attack, Damage and Carry: Role Familiarity and Team Performance in League of Legends

2018 ◽  
Vol 62 (1) ◽  
pp. 130-134 ◽  
Author(s):  
Joshua A. Eaton ◽  
David J. Mendonça ◽  
Matthew-Donald D. Sangster
Keyword(s):  
Virtual Teams ◽  
Team Performance ◽  
Positive Impact ◽  
Social Constructs ◽  
Data Set ◽  
Team Members ◽  
Gaming Environment ◽  
And Performance ◽  
The Impact ◽  
League Of Legends

Objective: This research studies the impact of role familiarity on team performance by examining performance of the “Carry” role in the Multi-player Online Battle Arena gaming environment, League of Legends™. Background: Roles are typically defined as stable patterns of expectations, relationships, and behaviors. As social constructs, roles therefore include notions of status, relationships with additional social actors, and of defined sets of behaviors tied to the assigned role. We hypothesize that the importance of role familiarity in teams is mediated by the nature and extent of team members’ experience working together in defined roles. Methods: The data set used for this study is from League of Legends’ Application Program Interface and consists of ranked match play from 2011–2016. Results: ANOVA and visualization techniques are used to explore match-level data in order to address the proposed research questions. The proportion of time the same team member is assigned to the “Carry” role (role familiarity) has a direct and positive impact on team performance. Conclusions: This study shows how objective, detailed data on teamwork may be used to provide insights into questions of the composition and performance of teams. Additionally, the results illustrate the importance of role familiarity in the performance of teams. Application: This research highlights the value and feasibility of studying virtual teams for new insights into team performance.

Sign in / Sign up

Export Citation Format

Share Document