Search results

1 – 10 of 83
Content available
Article
Publication date: 21 December 2020

R. Venkatesakumar, Sudhakar Vijayakumar, S. Riasudeen, S. Madhavan and B. Rajeswari

The star rating summarises the review content and conveys the message faster than other review components. Star ratings influence helpfulness of the reviews, and extreme…

Abstract

Purpose

The star rating summarises the review content and conveys the message faster than other review components. Star ratings influence helpfulness of the reviews, and extreme reviews are considered as less helpful in the decision process. However, literature has rarely addressed variations in star ratings across product categories and variations between two online retailers. In this paper, the authors have compared the distribution of star ratings across 11 products and among the retailers.

Design/methodology/approach

Online reviews for 11 product categories have collected, and the authors compared the distribution of star ratings across 11 products and retailers. Correspondence analysis has been applied to show the association between star ratings and product categories for the e-retail firms.

Findings

The Amazon site contains proportionately more number of 1-star rated reviews than Flipkart. In Amazon reviews, few product categories are closely associated with 1-star and 2-star reviews, whereas no product categories are closely associated with 1-star and 2-star reviews in Flipkart reviews. The results indicate two distinct communication strategies followed by the firms in managing online consumer reviews.

Research limitations/implications

The authors did not analyse data across demographic details because of access restriction policies of the websites.

Practical implications

Understanding the distribution of review characteristics will improve the consumer’s decision-making ability and using online review content judiciously.

Social implications

This study’s results show significant insights on online retailing by providing cues in using shopping sites and online review characteristics of two prominent retailers.

Originality/value

This paper has brought out a distinct distribution pattern of online review between Amazon and Flipkart. Amazon allows a higher degree of negative contents, whereas Flipkart allows more number of positive reviews.

Details

Vilakshan - XIMB Journal of Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0973-1954

Keywords

Content available
Article
Publication date: 23 July 2020

B. Rajeswari, S. Madhavan, Ramakrishnan Venkatesakumar and S. Riasudeen

This study aims to compare online review characteristics, review length and review sentiment score between “organic” and “regular” food products. In addition, variations…

Abstract

Purpose

This study aims to compare online review characteristics, review length and review sentiment score between “organic” and “regular” food products. In addition, variations in the consumer sentiment scores across the review lengths are studied.

Design/methodology/approach

This study fits into the descriptive research design. From Amazon’s website, the consumer product reviews are scrapped. Using the text analytical package “sentiment” in R-Studio, we computed the sentiment scores and counted the number of words in each review. The mean sentiment scores and mean review length are compared for regular and organic products using one-way ANOVA. Sentiment score variation across review length and product class is studied through factorial ANOVA. Sample reviews of ghee and honey are used to test the hypotheses.

Findings

The review length shows a significant difference between the regular and organic products. The mean number of words in the regular products reviews is significantly lower than the mean number of words in the organic product reviews. The regular products’ mean sentiment score is significantly lower than the mean sentiment score of organic products. The mean sentiment scores are not consistent between ghee and honey. Sentiment scores are better for organic honey and regular ghee products. For regular ghee products, longer reviews result in lower sentiment scores. For regular and organic versions of honey, longer reviews are associated with better sentiment scores.

Research limitations/implications

This study did not include the helpfulness of a review and the demographic data of the reviewers.

Practical implications

Sentiment scores’ variations across the regular and organic and product categories such as ghee and honey give a comprehensive feedback to the firms. It also indirectly communicates a brand’s evaluation by the consumers and the performance feedback for an upward extension like the organic category.

Social implications

Studies on organic category give feedback for environment-friendly products and consumer attitude shift towards safer products.

Originality/value

Very limited studies have reported the upward line extensions. The authors study the upward line extension organic and associated sentiment scores variation. The role of review length and its systematic influence on the sentiment scores, variations in the review due to the product nature (organic/regular) are unique contributions of this study.

Details

Rajagiri Management Journal, vol. 14 no. 2
Type: Research Article
ISSN: 0972-9968

Keywords

To view the access options for this content please click here
Article
Publication date: 8 January 2021

Danish Hussain, Arham Adnan and Maaz Hasan Khan

The study attempted to gauge the relative effectiveness of celebrity and product image match-up in comparison to non-celebrity attractive endorsers for two distinct high…

Abstract

Purpose

The study attempted to gauge the relative effectiveness of celebrity and product image match-up in comparison to non-celebrity attractive endorsers for two distinct high involvement situations. Also, due to the expected demographic diversity among target consumers, the study aimed at assessing the impact of respondent's age and gender on the effectiveness of image match-up.

Design/methodology/approach

Building on the three-order hierarchy model, two experiments were conducted (utilising celebrity and non-celebrity endorsers) for two high involvement hierarchies, i.e. standard learning and dissonance/attribution. Through fictitious print advertisement, the experiments assessed the effectiveness of the match-up in terms of consumer attitudes towards advertisement and brand and intentions to purchase.

Findings

The match-up consistently and significantly outperformed non-celebrity attractive endorser in case of standard learning hierarchy. The same conclusion was not established for dissonance/attribution hierarchy due to the lack of significant results. The findings also suggest that the match-up subdues the impact of consumer's gender and age on consumer attitudes only in case of standard learning hierarchy.

Research limitations/implications

The study provides interesting theoretical implication by challenging a widely held postulation about the applicability of celebrity and product match-up under high involvement.

Practical implications

The research provides the practitioners with a better understanding of important issues, mainly, whether to use a celebrity endorser and selecting the right celebrity, especially if high involvement is expected.

Originality/value

Previous research concerning celebrity endorsements has largely considered consumer involvement as unitary, i.e. either high or low. However, the multifaceted aspect of consumer involvement is well established in the field of consumer psychology. The present research, therefore, is a pioneering attempt as it studies the effectiveness of match-up for two distinct high involvement situations. Moreover, unlike the majority of previous studies that have focused on the performance of “celebrity match” versus “celebrity mismatch”, the impact of match-up was studied in comparison to a non-celebrity attractive endorser.

Details

Asia-Pacific Journal of Business Administration, vol. 13 no. 2
Type: Research Article
ISSN: 1757-4323

Keywords

To view the access options for this content please click here
Article
Publication date: 4 November 2020

Pachayappan Murugaiyan and Venkatesakumar Ramakrishnan

Little attention has been paid to restructuring existing massive amounts of literature data such that evidence-based meaningful inferences and networks be drawn therefrom…

Abstract

Purpose

Little attention has been paid to restructuring existing massive amounts of literature data such that evidence-based meaningful inferences and networks be drawn therefrom. This paper aims to structure extant literature data into a network and demonstrate by graph visualization and manipulation tool “Gephi” how to obtain an evidence-based literature review.

Design/methodology/approach

The main objective of this paper is to propose a methodology to structure existing literature data into a network. This network is examined through certain graph theory metrics to uncover evidence-based research insights arising from existing huge amounts of literature data. From the list metrics, this study considers degree centrality, closeness centrality and betweenness centrality to comprehend the information available in the literature pool.

Findings

There is a significant amount of literature on any given research problem. Approaching this massive volume of literature data to find an appropriate research problem is a complicated process. The proposed methodology and metrics enable the extraction of appropriate and relevant information from huge quantities of literature data. The methodology is validated by three different scenarios of review questions, and results are reported.

Research limitations/implications

The proposed methodology comprises of more manual hours to structure literature data.

Practical implications

This paper enables researchers in any domain to systematically extract and visualize meaningful and evidence-based insights from existing literature.

Originality/value

The procedure for converting literature data into a network representation is not documented in the existing literature. The paper lays down the procedure to structure literature data into a network.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

To view the access options for this content please click here
Article
Publication date: 12 October 2012

Yuming Hong, Daniel W.M. Chan and Albert P.C. Chan

This paper aims to explore the applicability of construction partnering in Mainland China, and to provide useful suggestions and possible implications for decision‐makers…

Abstract

Purpose

This paper aims to explore the applicability of construction partnering in Mainland China, and to provide useful suggestions and possible implications for decision‐makers to adopt this collaborative approach to project procurement.

Design/methodology/approach

Document analysis was first employed to identify the favourable conditions and potential difficulties in the application of partnering in Mainland China. A series of face‐to‐face semi‐structured interviews targeting academic experts and industrial practitioners was undertaken to solicit their perceptions of the benefits and difficulties of implementing partnering in Mainland China, coupled with their overall assessment of the applicability of, and suggestions for, the implementation of partnering in the region.

Findings

The results of document analysis indicated that the cultural roots of co‐operation and mutual trust, together with the increasing need to improve the current state of project performance in Mainland China, underpin the application of partnering in the construction market, although its application and generalisation still encounter some significant difficulties. The perceived benefits, potential barriers and effective strategies for partnering application in Mainland China were determined from the interviewees. The interview results further supported the applicability of construction partnering and provided constructive and practical suggestions for possible implementation in the Mainland Chinese construction industry. The partnering approach is evaluated as being practicable and appropriate in this study for the construction industry in Mainland China.

Research limitations/implications

Although it is essential to base the analysis of partnering applicability on a qualitative study, an empirical quantitative investigation of the benefits and difficulties of partnering application could further reinforce the quality of analysis. Future research could look into the project‐based assessment of partnering application in terms of the perceived benefits and potential difficulties of, and success factors for, partnering implementation in Mainland China.

Practical implications

Policy‐makers aiming for the introduction of the partnering approach could be equipped with stronger confidence from favourable cultural environment and industrial needs. Restrictions to the application of partnering underlying in the current working culture could be mitigated when appropriate strategies are taken by the initiators of the partnering approach.

Originality/value

Increased worldwide attention on construction partnering has shed light on the construction industry in Mainland China to achieve better value for money in project procurement and management. This paper provides valuable reference for decision‐makers to consider the adoption of partnering based on the qualitative analysis of the applicability of partnering in the construction industry in Mainland China.

Details

Facilities, vol. 30 no. 13/14
Type: Research Article
ISSN: 0263-2772

Keywords

To view the access options for this content please click here
Article
Publication date: 13 July 2015

Shaw Warn Too and Wan Fadzilah Wan Yusoff

The purpose of this paper is to examine the direct and indirect impact of firm-specific characteristics on the level of underpricing among Malaysian initial public…

Abstract

Purpose

The purpose of this paper is to examine the direct and indirect impact of firm-specific characteristics on the level of underpricing among Malaysian initial public offerings (IPOs).

Design/methodology/approach

Content analysis of IPO prospectuses was used for 331 firms underwent listing between 2002 and 2008. The extent of disclosure was computed by applying the disclosure index of Bukh et al. (2005).

Findings

Of the five firm characteristics examined, there is a direct relationship between the firm’s financial performance and the level of foreign activity, and the level of underpricing, instead of being mediated through disclosure. However, some firm characteristics have direct influence on the extent of disclosure but do not have any influence on underpricing.

Research limitations/implications

This empirical study concentrates on the Malaysian IPOs on a single disclosure mechanism. Other disclosure items can be examined together with the intellectual capital disclosure items.

Practical implications

As the findings reveal that the extent of disclosure is relatively low in influencing the level of underpricing. Had the disclosure been higher, it may have some influence on underpricing. The accounting governance board need to regulate the disclosures of the intangible resources so that the level of underpricing can be minimized.

Originality/value

This study provides new insight for the examination of direct and indirect (through disclosure) association between firm-specific characteristics and underpricing. The findings shed some lights to the IPO issuers to enhance disclosure so that the cost of capital can be reduced.

Details

Journal of Intellectual Capital, vol. 16 no. 3
Type: Research Article
ISSN: 1469-1930

Keywords

To view the access options for this content please click here
Article
Publication date: 9 January 2018

Rajeswari S. and Sivasakthivel P.S.

The purpose of this paper is to determine the optimum level of geometrical parameters such as helix angle, nose radius, rake angle and machining parameters such as cutting…

Abstract

Purpose

The purpose of this paper is to determine the optimum level of geometrical parameters such as helix angle, nose radius, rake angle and machining parameters such as cutting speed, feed rate and depth of cut to arrive minimum surface roughness and tool wear during end milling of Al 356/SiC metal matrix composites (MMCs) using high speed steel end mill cutter.

Design/methodology/approach

L27 Taguchi orthogonal design with six factors and three levels is employed for conducting experiments. Analysis of variance (ANOVA) is carried out using Minitab16 software to find the influence of each input parameter on output performance measure. Grey-fuzzy logic multi optimisation algorithm is used to find the optimum level of the input parameters for minimum surface roughness and tool wear simultaneously.

Findings

It is found that optimal combination of helix angle 40°, nose radius 0.8 mm, rake angle 12°, cutting speed 90 m/min, feed rate 0.04 mm/rev and depth of cut 1.5 mm have generated minimum surface roughness of 0.4063 µm and tool wear of 0.0375 mm. From ANOVA analysis, it is found that cutting speed influence is more on output performance followed by helix angle and rake angle compared with other machining and geometrical parameters.

Originality/value

The influence of tool geometry during end milling of MMC using Grey-fuzzy logic algorithm has not been explored previously.

Details

Multidiscipline Modeling in Materials and Structures, vol. 14 no. 2
Type: Research Article
ISSN: 1573-6105

Keywords

To view the access options for this content please click here
Article
Publication date: 1 May 1996

G. Latha and S. Rajeswari

Corrosion control in cooling systems where seawater forms the coolant is primarily effected with inhibitor additions. Deals with the evaluation of non‐ionic surfactants as…

Abstract

Corrosion control in cooling systems where seawater forms the coolant is primarily effected with inhibitor additions. Deals with the evaluation of non‐ionic surfactants as corrosion inhibitors in seawater, on conventionally used type 316L SS. Potentiodynamic anodic cyclic polarization studies were carried out to evaluate the performance of non‐ionic surfactants. Emphasizes the role of these compounds as effective inhibitors focusing on the chemical behaviour and nature of chemisorption, influencing the inhibiting properties.

Details

Anti-Corrosion Methods and Materials, vol. 43 no. 5
Type: Research Article
ISSN: 0003-5599

To view the access options for this content please click here
Article
Publication date: 1 February 1999

K. Suresh Kumar Danadurai and S. Rajeswari

The present study aims to evaluate the performance of titanium modified austenitic stainless steels in the simulated bleaching stages, viz. washer stage, peroxide and…

Abstract

The present study aims to evaluate the performance of titanium modified austenitic stainless steels in the simulated bleaching stages, viz. washer stage, peroxide and hyprochlorite stages. Potentiodynamic anodic cyclic polarization method was adopted to determine the critical parameters such as corrosion potential, breakdown potential and pit‐protection potential.

Details

Anti-Corrosion Methods and Materials, vol. 46 no. 1
Type: Research Article
ISSN: 0003-5599

Keywords

To view the access options for this content please click here
Article
Publication date: 1 January 1996

G. Latha and S. Rajeswari

Evaluates the effect of sodium diethyldithiocarbamate on the corrosion behaviour of copper and brass in sea water by way of experimental methods based on immersion studies…

Abstract

Evaluates the effect of sodium diethyldithiocarbamate on the corrosion behaviour of copper and brass in sea water by way of experimental methods based on immersion studies and polarization measurements. Presents and discusses the results.

Details

Anti-Corrosion Methods and Materials, vol. 43 no. 1
Type: Research Article
ISSN: 0003-5599

1 – 10 of 83