scholarly journals Consumers’ Decision‑Making in Online Grocery Shopping: The Impact of Services Offered and Delivery Conditions

2018 ◽  
Vol 66 (5) ◽  
pp. 1239-1247 ◽  
Author(s):  
Radka Bauerová
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Grocery Shopping ◽  
Online Purchase ◽  
Consumer Decision Process ◽  
Purchase Process ◽  
Online Consumer ◽  
The Impact ◽  
The Empirical Analysis

The growing consumer interest in buying food online has caused that online grocery shopping (OGS) is the current most evolving e‑commerce category. Therefore, focus on the factors influencing e‑consumer’s decision‑making is an important key to tailor optimal marketing strategy. OGS is specific due to the food aspects (quality, freshness and durability) as well as to the offered services and delivery conditions of the online purchase process. The aim of the paper is to extend external factors of online consumer decision process and examine the influence of offered services and delivery conditions toward consumer’s decision‑making in online grocery shopping. The paper focuses primarily on the choice of the type of service and the determination of delivery conditions that have a positive impact on the customer’s decision‑making. The empirical analysis was conducted on a sample of Czech online grocery buyers involving 536 respondents interviewed online. The results show the high customer sensitivity in delivery time and charge, while the impact of the minimum required order on the consumer’s intention to shop grocery online is not so decisive. The results suggest the Delivery Passes is the consumer most requested service and could play a role in building loyalty.

The impact of customer images on online purchase decisions: Evidence from a Chinese C2C Web site

First Monday ◽  
2017 ◽  
Author(s):  
Mingming Dai ◽  
Leo Van Hove
Keyword(s):  
Web Site ◽  
Purchase Intention ◽  
Positive Impact ◽  
Purchase Decisions ◽  
Online Purchase ◽  
Exploratory Survey ◽  
Quality Dimensions ◽  
Online Consumer ◽  
The Impact

The influence of electronic word-of-mouth (eWOM) on consumers’ online purchase decisions is well-documented. However, little is known about the impact of customer images, a recent form of eWOM. The present paper reports on an exploratory survey among 215 young users of the Chinese C2C shopping Web site Taobao.com. The idea was to test whether the so-called information adoption model — and in particular a variant used in earlier research on an online consumer community — could be transposed to the case of customer images. We find that the perceived quality of customer images — and in particular their ‘comprehensiveness’ — has a significant positive impact on purchase intention. This suggests that shopping sites should encourage customers to share high-quality customer images. From a methodological perspective, the limited reliability of two of the quality dimensions (namely ‘relevance’ and ‘timeliness’) catches the eye. This suggests that there is a need for a dedicated theoretical framework and for scales that take into account the specific nature of customer images. Simply transposing scales that have been validated for other forms of eWOM would not appear to be the best approach.

scholarly journals Online Reviews and Product Sales: The Role of Review Visibility

2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada
Keyword(s):  
Decision Making ◽  
Dynamic Models ◽  
Generalized Method Of Moments ◽  
Online Reviews ◽  
Consumer Decision Making ◽  
Product Sales ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.

scholarly journals The Analysis of the Economic Impact of VAT on the Economic Growth in Southern Europe

2019 ◽  
Vol 12 (2) ◽  
pp. 47-56
Author(s):  
Cosmina-Ștefania Chiricu
Keyword(s):  
Economic Growth ◽  
Urban Areas ◽  
Negative Impact ◽  
Positive Impact ◽  
Southern Europe ◽  
Aggregate Consumption ◽  
Agricultural Potential ◽  
The Impact ◽  
The Empirical Analysis ◽  
Econometric Assessment

AbstractThe Southern Region of Europe is economically well-developed with highly industrialized urban areas and with great agricultural potential. The empirical analysis is based on an econometric assessment that measures the impact of the VAT on the rate of economic growth for years between 1996 and 2017. The empirical evidence highlighted a significant positive impact of VAT on economic growth, but a poor and ineffective use of the tax revenues during the period under review. Moreover, evidence revealed relatively high rates of VAT in the countries analyzed, with negative impact on the aggregate consumption and a diminishing effect of the consumer’s income.

scholarly journals Exploring the Factors Affecting the Purchase Likelihood of e-Tailer Private Labels.

2021 ◽  
Author(s):  
Yeswanth Yerrabapu
Keyword(s):  
Purchase Intention ◽  
Positive Impact ◽  
Purchase Intentions ◽  
Private Labels ◽  
Factors Affecting ◽  
Consumer Ratings ◽  
Product Manufacturing ◽  
Online Consumer ◽  
Purchase Likelihood ◽  
The Impact

<p><b>In today’s extremely competitive retail marketplace environment, developing and managing profitable private label offerings has become significant for most retailing companies. The purpose of this paper is to understand the influence of e-tailer reputation, product manufacturing country favourability, and online consumer rating on the purchase likelihood of e-tailer private labels. We find that product online consumer ratings positively impact the purchase intention of the private labels. E-tailer reputation has shown a positive impact on the future purchase intentions whereas, country favourability’s effect is found at the time of actual purchase of e-tailer private labels. Being the first research to study the impact of country favourability, e-tailer reputation on e-tailer private labels, this paper offers some insights to the e-tailers. </b></p>

scholarly journals Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Positive Impact ◽  
Investment Decision ◽  
Structure Questionnaire ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact ◽  
Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

scholarly journals Stochastic Fuzzy Algorithms for Impairment of Assets Management

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcel Ioan Bolos ◽  
Victoria Bogdan ◽  
Ioana Alexandra Bradea ◽  
Claudia Diana Sabau Popa ◽  
Dorina Nicoleta Popa
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Fuzzy Numbers ◽  
Cash Flows ◽  
The Other ◽  
Dual Purpose ◽  
Fuzzy Algorithms ◽  
Tangible Assets ◽  
The Impact

The present paper aims to analyze the impairment of tangible assets with the help of artificial intelligence. Stochastic fuzzy numbers have been introduced with a dual purpose: on one hand to estimate the cash flows generated by tangible assets exploitation and, on the other hand, to ensure the value ranges stratifications that define these cash flows. Estimation of cash flows using stochastic fuzzy numbers was based on cash flows generated by tangible assets in previous periods of operation. Also, based on the Lagrange multipliers, were introduced: the objective function of minimizing the standard deviations from the recorded value of the cash flows generated by the tangible assets, as well as the constraints caused by the impairment of tangible assets identification according to which the cash flows values must be equal to the annual value of the invested capital. Within the determination of the impairment value and stratification of the value ranges determined by the cash flows using stochastic fuzzy numbers, the impairment of assets risk was identified. Information provided by impairment of assets but also the impairment risks, is the basis of the decision-making measures taken to mitigate the impact of accumulated impairment losses on company’s financial performance.

Use of Selected Geospatial Tools for the Purposes of Reconnaissance

2020 ◽  
Vol 12 (2) ◽  
pp. 40-41
Author(s):  
Maciej Zaorski
Keyword(s):  
Decision Making ◽  
Continuous Process ◽  
Decision Making Process ◽  
Site Assessment ◽  
Geospatial Tools ◽  
The Military ◽  
The Impact ◽  
Traffic Corridors ◽  
Modern Technologies

The implementation of modern tools in the military system constitutes an important step in supporting the decision-making process. The impact of new GIS technologies is important for the assessment of the battlefield . According to assumptions, reconnaissance is a continuous process that crowns the assessment of the opponent and of the battlefield. Site assessment is an element of the command process where the conclusions of the task analysis includes an assessment of the potential opponent together with his modus operandi and an assessment of the environment . As part of the Information Preparation of the Battlefield (hereinafter referred to as IPB), the identification of threats and limitations has an impact on the identification of potential approach routes, traffic corridors and maneuvers in assigned areas and lanes . The end result is the determination of the maneuverability of forces and resources owned or those of the opponent. The information is to relate to the impact of the terrain components on the scope and nature of conducted activities, and the hydrometeorological conditions are to relate to the impact on the terrain, equipment, and people . As far as it regards the analysis of the environment and the opponent, it is possible to apply modern technologies to shorten the time for the analyses performed within the ongoing decision-making process.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

Consumers' perceptions of personal decision-making: Its relation to cognitive dissonance

2000 ◽  
Vol 26 (2) ◽  
Author(s):  
S. Brijball
Keyword(s):  
Decision Making ◽  
Cognitive Dissonance ◽  
Motor Vehicle ◽  
External Influence ◽  
Correct Decision ◽  
High Quality ◽  
Significant Percentage ◽  
The Impact ◽  
The Empirical Analysis ◽  
Personal Decision

The study assesses consumers' perceptions of their personal decision-making ability and process. The empirical analysis was undertaken on a sample of 200 new motor vehicle consumers. The results indicate that the majority of the consumers displayed confidence in the decisions they took, believing they engaged in high quality and correct decision-making and were able to conclude good deals. The majority of consumers indicated that they were not influenced by external others and were not anxious during decision-making, although a significant percentage reported the impact of external influence and anxiety during purchases. Opsomming In hierdie studie word verbruikers se waameming van hulle eie besluitnemingsvermoe en proses geevalueer. Die empiriese ontleding is uitgevoer op n steekproefvan 200 eienaars van nuwe voertuie. Dit blyk uit die resultate, dat die meerderheid verbruikers vertroue gehad het in hulle besluitnemingsproses, dat hulle besluite korrek was en dat hulle n lonende transaksie beklink het. Die meerderheid het aangedui dat hulle nie beihvloed is deur eksteme invloede nie en dat hulle nie anstig was tydens die besluitnemingsproses nie, alhoewel n betekenisvolle persentasie van verbruikers wel hierdie invloede en angstigheid gedurende die aankoop ervaar het.

Fuzzy C-means based data envelopment analysis for mitigating the impact of units’ heterogeneity

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 536-551 ◽  
Author(s):  
Seyed Hossein Razavi Hajiagha ◽  
Shide Sadat Hashemi ◽  
Hannan Amoozad Mahdiraji
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Negative Impact ◽  
Positive Impact ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Content Type ◽  
Fuzzy C Means ◽  
The Impact ◽  
Decision Making Units

Purpose – Data envelopment analysis (DEA) is a non-parametric model that is developed for evaluating the relative efficiency of a set of homogeneous decision-making units that each unit transforms multiple inputs into multiple outputs. However, usually the decision-making units are not completely similar. The purpose of this paper is to propose an algorithm for DEA applications when considered DMUs are non-homogeneous. Design/methodology/approach – To reach this aim, an algorithm is designed to mitigate the impact of heterogeneity on efficiency evaluation. Using fuzzy C-means algorithm, a fuzzy clustering is obtained for DMUs based on their inputs and outputs. Then, the fuzzy C-means based DEA approach is used for finding the efficiency of DMUs in different clusters. Finally, the different efficiencies of each DMU are aggregated based on the membership values of DMUs in clusters. Findings – Heterogeneity causes some positive impact on some DMUs while it has negative impact on other ones. The proposed method mitigates this undesirable impact and a different distribution of efficiency score is obtained that neglects this unintended impacts. Research limitations/implications – The proposed method can be applied in DEA applications with a large number of DMUs in different situations, where some of them enjoyed the good environmental conditions, while others suffered from bad conditions. Therefore, a better assessment of real performance can be obtained. Originality/value – The paper proposed a hybrid algorithm combination of fuzzy C-means clustering method with classic DEA models for the first time.

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