Do online reviews have different effects on consumers’ sampling behaviour across product types? Evidence from the software industry

2021 ◽  
pp. 016555152096539
Author(s):  
Shengli Li ◽  
Fan Li ◽  
Shiyu Xie
Keyword(s):  
Empirical Analysis ◽  
Software Industry ◽  
Online Reviews ◽  
Experience Goods ◽  
Consumer Uncertainty ◽  
Software Firms ◽  
Different Types ◽  
Typical Type ◽  
Research Gap ◽  
User Ratings

Previous research shows that online reviews may have different effects for search goods and experience goods. However, as a typical type of experience goods, software can be further divided into different categories based on product characteristics. Little research has been conducted regarding the different effects of online reviews for different types of software. Furthermore, to offer free samples is another common practice of software firms to alleviate consumer uncertainty prior to purchase. To fill the corresponding research gap, this research focuses on the interaction effects between online reviews and free samples for different types of software. Through our empirical analysis, we find that user ratings significantly increase consumers’ sample downloads. Furthermore, consumers download more samples for some categories than for others. Finally, user and editor ratings might have differential effects for different types of software.

scholarly journals Do Hotel Responses Matter?

2019 ◽  
Vol 32 (3) ◽  
pp. 70-89 ◽  
Author(s):  
Wenlong Liu ◽  
Rongrong Ji
Keyword(s):  
Empirical Analysis ◽  
Word Of Mouth ◽  
Online Reviews ◽  
Interaction Effects ◽  
Positive Interaction ◽  
Response Quality ◽  
Consumer Complaints ◽  
Different Types ◽  
Professional Voice

This article aims to examine how hotel responses to online reviews influence how potential consumers perceived the helpfulness of the online reviews. Response length and voice were employed to measure the hotel's response quality. 637 reviews with responses were used for empirical analysis. The study identified three different types of response voices: disputed voice, professional voice, and empathetic voice. The results show that both response length and response voice have significant effects on the helpfulness perceived by potential consumers. Moreover, they also have some interaction effects with star ratings, review length, and review image. This study suggests that hotels should strategically respond to both positive and negative online reviews so as to both create a positive interaction atmosphere and resolve consumer complaints. The findings of this study can, to some extent, help manage word of mouth reputations.

Technology of optimization: An emerging configuration of productivity among professional software employees

2021 ◽  
pp. 136754942110302
Author(s):  
Vanessa Ciccone
Keyword(s):  
Empirical Analysis ◽  
Software Industry ◽  
Private Life ◽  
The Self ◽  
Public And Private ◽  
Political Consequences ◽  
Moral Ideals ◽  
The Empirical Analysis

In this article, I draw from several months of fieldwork from 2019 to assess professional subjectivity in the software industry of Canada. I assess employees’ constructions of and feelings about their own productivity. I argue that the ways in which subjects understand and feel about their productivity says a great deal about how power is ‘willfully’ negotiated within everyday professional tech settings of neoliberal societies. My findings suggest that optimization is emerging as a technology of self among the individuals I studied, and bringing political consequences. In the first section of the article, I provide a brief overview of the productivity imperative’s cultural trajectory, and show its relation to optimization. Then, in the empirical analysis and discussion, I outline that the technology of optimization involves a discourse around bringing one’s best to public and private realms, offering a specific set of moral ideals. I then show that another facet of this technology of self is centered on willfully entangling public and private life. Finally, I theorize subjects’ reported feelings about their own productivity, assessing how the technology of optimization relates to a politics of privilege. With this study, I seek to make a contribution to the relation between the culture of productivity and professional subjectivity in the software industry, in an effort to expose how power is negotiated at the level of the self in an increasingly influential sector.

scholarly journals The Economics and Management of Non-Traditional Trademarks

2018 ◽  
pp. 257-270 ◽  
Author(s):  
Carolina Castaldi
Keyword(s):  
Empirical Analysis ◽  
The Social ◽  
Social Returns ◽  
Different Types ◽  
Using Data ◽  
Economic Studies

Economists have largely neglected the phenomenon of NTTMs and its consequences for society so far, partly because of their limited interest in the social returns of trademarks in general. After reviewing the handful of economic studies on this matter, I present a first systematic empirical analysis of the extent of NTTM filings, with a focus on the number of filings, their nature, and the actors behind those filings. Using data from the USPTO, I find that NTTMs are steadily increasing, they are filed by very different types of firms, but they remain a relative small phenomenon, as compared to all trademark filings. I conclude by discussing avenues for further research.

scholarly journals Opinion mining using combinational approach for different domains

2019 ◽  
Vol 9 (4) ◽  
pp. 3307
Author(s):  
Jyoti Sandesh Deshmukh ◽  
Amiya Kumar Tripathy ◽  
Dilendra Hiran
Keyword(s):  
Maximum Entropy ◽  
Cross Validation ◽  
Opinion Mining ◽  
Domain Adaptation ◽  
Online Reviews ◽  
Research Area ◽  
Source Domain ◽  
Different Types ◽  
Fold Cross Validation ◽  
Target Data

An increase in use of web produces large content of information about products. Online reviews are used to make decision by peoples. Opinion mining is vast research area in which different types of reviews are analyzed. Several issues are existing in this area. Domain adaptation is emerging issue in opinion mining. Labling of data for every domain is time consuming and costly task. Hence the need arises for model that train one domain and applied it on other domain reducing cost aswell as time. This is called domain adaptation which is addressed in this paper. Using maximum entropy and clustering technique source domains data is trained. Trained data from source domain is applied on target data to labeling purpose A result shows moderate accuracy for 5 fold cross validation and combination of source domains for Blitzer et al (2007) multi domain product dataset.

A Unified Model of Product Service Systems Representation

2013 ◽  
Vol 4 (4) ◽  
pp. 58-72 ◽  
Author(s):  
Lujing Yang ◽  
Ke Xing ◽  
David Ness
Keyword(s):  
Unified Model ◽  
Service Systems ◽  
Product Service ◽  
Different Types ◽  
Research Gap ◽  
Product Service Systems ◽  
Virtual Product ◽  
Research Studies

This paper proposes a model to represent the structure of different types of Product Service Systems (PSS). The model can fill the current research gap that different types of PSS cannot be represented by a unified expression. In current research studies, PSS is divided into three main categories and each type has different ways to be modelled. Designers have to develop different types of PSS through very different ways. The model is developed on a new concept of Virtual Product, which represent the PSS from a customer's viewpoint. Based on this concept, different types of PSS can be represented in a unified model.

Modes of engagement with the future in everyday life

2019 ◽  
Vol 29 (3) ◽  
pp. 681-703
Author(s):  
Giuliana Mandich
Keyword(s):  
Everyday Life ◽  
Empirical Analysis ◽  
Daily Life ◽  
Empirical Studies ◽  
Public Domain ◽  
The Public ◽  
Starting Point ◽  
Different Types ◽  
The Future ◽  
Modes Of Engagement

This paper is aimed at understanding how we engage with the future in different ways in everyday life. Many empirical studies have emphasised that what we usually call ‘imagination’ of the future takes diverse forms and meanings. Varied narratives of the future that are possible coexist in daily life in a bumpy, semi-conscious and occasionally tense dialogue with one another. To understand this variation of narratives, a thorough exploration of the different modes of engaging with the future that various forms of agency bring into play is required, together with a sensitive empirical analysis. I use Thévenot’s theory of regimes of engagement as a starting point to at least partially explain this variety. Thévenot’s idea that different types of individual involvement in relation to different definitions of the relevant reality (e.g. familiarity, plans and the public domain of justification and exploration) contain interesting implications for the analysis of what I define as modes of engagement with the future. As involved as we are with social reality through specific formats, so are we with the future. As the ‘relevant reality’ is different according to the regime of engagement that we are involved in, the nature of anticipation also varies. The future is ‘made and measured’ within the logic of probability in the regime of plans; of possibility in the regime of justification; of practical anticipation in the regime of familiarity; and of discovery in the regime of exploration. This perspective helps to avoid a reification of the future as something that is ‘there’ and that we simply discover and avoids easy dichotomisation of forms of anticipation of the future as realistic or unrealistic.

Culture, employee work outcomes and performance: An empirical analysis of Indian software firms

2012 ◽  
Vol 47 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Jossy Mathew ◽  
Emmanuel Ogbonna ◽  
Lloyd C. Harris
Keyword(s):  
Empirical Analysis ◽  
Work Outcomes ◽  
Software Firms ◽  
And Performance

MOTORCYCLE COCKPIT DESIGN CLASSIFICATION: CODEC SYSTEM

2015 ◽  
Vol 76 (11) ◽  
Author(s):  
Wan Muhammad Syahmi Wan Fauzi ◽  
Abdul Rahman Omar ◽  
Roseleena Jaafar ◽  
Muhammad Izzat Nor Ma’arof ◽  
Helmi Rashid
Keyword(s):  
Mechanical Function ◽  
Nomenclature System ◽  
Different Types ◽  
Research Gap ◽  
Standardized Method ◽  
Cockpit Design

Motorcycle have become very popular transportation nowadays. There are several ways of classifying motorcycle into different types of categories such as according to the engine displacement sizes, type, usage, mechanical function etc. Aside from manufacturer’s classification, which is based on the engine displacement sizes, most of them are subjective. Due to the variations, research related to motorcycle are uncoordinated. In addition, consistency and reliability of data collected are necessary since the field of research is vast. This paper aims to fill this research gap by proposing a standardized method for motorcycle nomenclature system, which is a classification based on a motorcycle cockpit design.

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