Online Relationship Formation

2017 ◽  
Vol 81 (3) ◽  
pp. 21-40 ◽  
Author(s):  
Irina V. Kozlenkova ◽  
Robert W. Palmatier ◽  
Eric (Er) Fang ◽  
Bangming Xiao ◽  
Minxue Huang
Keyword(s):  
Online Shopping ◽  
Relationship Building ◽  
Relationship Formation ◽  
Online Relationships ◽  
Reciprocal Relationships ◽  
Online Sales ◽  
Relationship Partners ◽  
Different Types ◽  
Dynamic Payoffs ◽  
Level Analysis

As online shopping evolves from being primarily transactional to being more relational, sellers aim to form online relationships. This article investigates online relationship formation, identifies the performance payoffs that result from forming different types of online relationships (unilateral vs. reciprocal), and tests the most effective relationship-building strategies. Study 1, based on a longitudinal buyer-level analysis of an online shopping community, reveals that buyers use community-, seller-, and buyer-generated signals to identify suitable relationship partners and reduce online shopping risk. These signals generally diminish in importance as buyers gain experience but become more important when buyers are forming reciprocal relationships. Study 2 evaluates the dynamic payoffs of online relationship formation (seller-level analysis) on sales; the effect on sales of reciprocal relationships is three times greater and lasts seven times longer than that of seller-initiated, unilateral relationships. Study 3 is a field experiment testing managerially actionable strategies for leveraging relationships to grow online sales. Tenets arising from differences between online and offline relationships, together with the results from the three studies, inform an emerging theory of online relationships.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

2020 ◽  
Vol 13 (5) ◽  
pp. 884-892
Author(s):  
Sartaj Ahmad ◽  
Ashutosh Gupta ◽  
Neeraj Kumar Gupta
Keyword(s):  
Decision Making ◽  
Online Shopping ◽  
Recent Time ◽  
Design Development ◽  
Different Types ◽  
Feature Based ◽  
Use Of Internet ◽  
Day By Day ◽  
Better Than

Background: In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured. Objective: In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews. Methods: Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms. Results: Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results. Conclusion: Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.

scholarly journals flipkart.com’s Strategy on Amazon.com’s Entry into India :A Case Study

2013 ◽  
Vol 12 (4) ◽  
pp. 131-143
Author(s):  
Padmanabh B
Keyword(s):  
Foreign Direct Investment ◽  
Government Policy ◽  
Direct Investment ◽  
Online Shopping ◽  
Foreign Investments ◽  
Online Retail ◽  
Online Sales ◽  
Internet Users ◽  
The Government

The online retail industry in India is expected to grow to Rs. 7000 crores by 2015. Its size in 2013 is Rs. 2500 crores. By 2014 India is expected to become the 3rd largest nation of Internet users and this would provide huge potential to the online retail Industry1.Among the major cities in India, consumers in Mumbai topped the chart in doing online shopping followed by Ahmedabad and Delhi2. As per Google study conducted in 2012, 51 percent of the traffic for its Great online shopping festival (GOSF) was due to customers from cities other than the four metros. Referring to the growth in online sales, Nitin Bawankule, industry director, e-commerce, online classifieds and media/entertainment at Google India said, “Top motivators for shopping online include cash back guarantee, cash on delivery, fast delivery, substantial discounts compared to retail, and access to branded products”3.  The E –commerce space in India has seen a lot of action and there are many online players like flipkart.com, Myntra.com, Fabmart, Indiaplaza and Indiatimesshopping. Amazon.com made an indirect entry through Junglee.com. The reason for this indirect entry is the result of government policy towards foreign direct investment.  The Government of India announced in September 2012 the revised foreign direct investment policy in retail. As per this announcement foreign investments are blocked in e-commerce sector while allowing 51 percent FDI in multi-brand retail stores and 100 percent FDI in single brand retail. Amazon has been eyeing the Indian E commerce market which is estimated around $2 billion4.

scholarly journals Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

Using DEMATEL-Based ANP Model to Measure the Successful Factors of E-Commerce

2018 ◽  
pp. 1122-1138
Author(s):  
Chia-Huei Wu ◽  
Sang-Bing Tsai
Keyword(s):  
Hybrid Method ◽  
Online Shopping ◽  
Influential Factors ◽  
Important Criterion ◽  
Direct Impact ◽  
Causal Relationships ◽  
Factors Affecting ◽  
Causal Graph ◽  
Online Sales ◽  
Perceived Price

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.

The Democracy of Dating: How Political Affiliations Shape Relationship Formation

2020 ◽  
pp. 1-13
Author(s):  
Matthew J. Easton ◽  
John B. Holbein
Keyword(s):  
Romantic Relationships ◽  
Experimental Studies ◽  
Relationship Building ◽  
The Political ◽  
Relationship Formation ◽  
Study Results ◽  
Survey Experiments ◽  
The Usa

Abstract How much does politics affect relationship building? Previous experimental studies have come to vastly different conclusions – ranging from null to truly transformative effects. To explore these differences, this study replicates and extends previous research by conducting five survey experiments meant to expand our understanding of how politics does/does not shape the formation of romantic relationships. We find that people, indeed, are influenced by the politics of prospective partners; respondents evaluate those in the political out-group as being less attractive, less dateable, and less worthy of matchmaking efforts. However, these effects are modest in size – falling almost exactly in between previous study estimates. Our results shine light on a literature that has, up until this point, produced a chasm in study results – a vital task given concerns over growing levels of partisan animus in the USA and the rapidly expanding body of research on affective polarization.

scholarly journals How Well Do Consumer-Brand Relationships Drive Customer Brand Loyalty? Generalizations from a Meta-Analysis of Brand Relationship Elasticities

2019 ◽  
Vol 46 (3) ◽  
pp. 435-459 ◽  
Author(s):  
Mansur Khamitov ◽  
Xin (Shane) Wang ◽  
Matthew Thomson
Keyword(s):  
Brand Loyalty ◽  
Meta Analysis ◽  
Positive Influence ◽  
Relationship Building ◽  
Future Research ◽  
Brand Relationships ◽  
Brand Relationship ◽  
Different Types

Abstract To advance understanding of how well different types of brand relationships drive customer brand loyalty and to help companies improve the effectiveness of their relationship-building investments, this article conducts a meta-analysis of the link between five consumer-brand relationship constructs and customer brand loyalty. The analysis of 588 elasticities from 290 studies reported in 255 publications over 24 years (n = 348,541 across 46 countries) reveals that the aggregate brand relationship elasticity is .439. More importantly, results demonstrate under what conditions various types of brand relationships increase loyalty. For example, while elasticities are generally highest for love-based and attachment-based brand relationships, the positive influence of brand relationships on customer brand loyalty is stronger in more recent (vs. earlier) years, for nonstatus (vs. status) and publicly (vs. privately) consumed brands, and for estimates using attitudinal (vs. behavioral) customer brand loyalty. Overall, the results suggest that brand relationship elasticities vary considerably across brand, loyalty, time, and consumer characteristics. Drawing on these findings, the current research advances implications for managers and scholars and provide avenues for future research.

scholarly journals Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

2020 ◽  
Vol 10 (4) ◽  
pp. 78
Author(s):  
Zuzana Svobodová ◽  
Jaroslava Rajchlová
Keyword(s):  
Quantitative Research ◽  
Strategic Behavior ◽  
Online Shopping ◽  
Financial Analysis ◽  
Shopping Behavior ◽  
Financial Strategy ◽  
Online Sales ◽  
Long Run ◽  
Progressive Growth ◽  
Online Shopping Behavior

The issue of online shopping behavior is gaining importance with the continued development of e-commerce. E-commerce businesses that aim to be successful in the online market in the long run must consider the factors of online shopping behavior when creating and implementing their e-commerce strategy. This paper is focused on the strategic behavior of e-commerce from a perspective of the online customer. The aim of the paper is to evaluate the strategic position of e-commerce businesses that focus on online sales of electronics, based on their strategic behavior from the customer’s perspective. The first objective is to identify the current factors of online shopping behavior in the industry of online electronics. The second obejctive is to identify the current economic performance and financial strategy of e-commerce businesses and their relevance to strategic behavior in e-commerce. The third objective is to identify the possible differences in strategic behavior of e-commerce SMEs and e-commerce large businesses. The research methods employed were: situation analysis, benchmarking, quantitative research, selected methods of financial analysis. The selected methods of statistical induction were chosen to verify the research hypotheses. A research sample of 89 e-commerce businesses selling online electronics was selected for this research. It was found that most e-commerce businesses apply a balanced e-strategy based on the assessed factors of online shopping behavior that does not correspond to the progressive growth of e-commerce. Fifteen factors were identified that influence customers when choosing and buying electronics online. It was also found that the strategic behavior of e-commerce businesses is influenced by factors of online shopping behavior. Finally, it was found that the current balanced e-strategy of e-commerce businesses does not correspond with conservative financial strategy.

Reframing assessment: Reconceptualising relationships and acknowledging emotional labour

2017 ◽  
Vol 18 (4) ◽  
pp. 375-386 ◽  
Author(s):  
Maria Cooper
Keyword(s):  
Relationship Building ◽  
Assessment Practices ◽  
Infants And Toddlers ◽  
Relational Pedagogy ◽  
Reciprocal Relationships ◽  
Emotional Labour ◽  
Reflective Dialogue ◽  
Aotearoa New Zealand ◽  
Theoretical Perspectives ◽  
Teachers Experiences

Implementing relationships-based pedagogies in infant and toddler settings might assume that teachers’ experiences of emotional labour will be acknowledged. This assumption may be complicated by assessment practices that both rely on and detract from relationship-building opportunities with infants and toddlers. Assessment also relies on reciprocal relationships between teachers, and between teachers and families. Drawing on sociocultural theoretical perspectives, this article illustrates how one team of infant-toddler teachers in Aotearoa-New Zealand reframed their assessment understandings and practices to acknowledge their experiences of emotional labour with infants and toddlers. Consequently, positive changes in the teachers’ relationships with children, with families and with each other eventuated. The author argues that reconceptualising relationships in infant-toddler settings requires an understanding of assessment as a reflexive, relational process that can occur during everyday interactions, and emotional labour as central to relationship-building. Implications include teachers’ need for time, reflective dialogue and support to address tensions between assessment and relational pedagogy, so that relationships might be reconceptualised and the importance of emotional labour acknowledged.

scholarly journals Nieczyste relacje. Ambiwalencje i napięcia w dzisiejszych związkach intymnych — krytyczna analiza koncepcji Anthony’ego Giddensa

2011 ◽  
Vol 55 (1) ◽  
pp. 121-146
Author(s):  
Filip Schmidt
Keyword(s):  
Intimate Relationships ◽  
Social Bonds ◽  
Relationship Formation ◽  
The Public ◽  
Self Help ◽  
Starting Point ◽  
Different Types ◽  
Intimate Relations ◽  
The Public Sphere ◽  
Source Of Information

The article discusses contemporary changes in intimate relationships. A starting point for this discussion is Anthony Giddens’s theory presented in his book The Transformation of Intimacy (1992), particularly the specificity of self-help literature as a source of information for sociological reasoning. On the example of housework, the nature of the tensions between the conflict expectations of partners is presented. Today, many people are torn between several different models of intimate relations and different needs. The thesis of the article is that the ambivalence observed in the process of relationship formation is neither marginal nor only psychological but it represents tensions between different types and dimensions of knowledge which are used in this process. This ambivalence is also a perfect indicator of the discourse struggle in the public sphere and an element of changes of social bonds; its study may help answer the question about transformation of intimacy and about the commonness of “pure relations” or other models of intimate relationships.

scholarly journals The Influence of Perceived Trust on the Relationship Between Image Interactive Technology and Behavioral Intention Associated with Online Purchase of Goods in Malang City

2021 ◽  
pp. 213-220
Author(s):  
Syarif Hidayatullah ◽  
Harianto Respati ◽  
Ahmad Farhan ◽  
Ike Kusdyah Rachmawati ◽  
Eko Aristanto
Keyword(s):  
Social Media ◽  
Path Analysis ◽  
Hypothesis Testing ◽  
Behavioral Intention ◽  
Online Shopping ◽  
Interactive Technology ◽  
Perceived Trust ◽  
Online Sales ◽  
Online Purchase ◽  
The Relationship

The high potential for growth in the digital economy through e-commerce has penetrated various aspects of business life. This research focused on image interactive technology because using animation and image design through social media can provide an attractive nuance to the viewer and generate more trust. The sale of goods online requires an active and attractive nuance of content so that customers are happy and choose online sales media as a convenient online shopping medium. This research was conducted in Malang City, East Java, with a sample of 190 respondents, all of whom have transacted online or bought their necessities online. The data were analysed through path analysis and hypothesis testing. The results demonstrate that image interactive technology influences perceived trust and behavioral intention, either directly or indirectly. Keywords: (IIT) Image Interactive Technology, behavioral intention, perceived trust, online

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