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Article
Publication date: 25 June 2019

Sushant Ranjan and Rama Shankar Yadav

The purpose of this paper is to develop and empirically validate items on social isolation. The comprehensive literature review of existing studies on the measures of…

Abstract

Purpose

The purpose of this paper is to develop and empirically validate items on social isolation. The comprehensive literature review of existing studies on the measures of social isolation, loneliness and the related construct was conducted. The paper seeks to conceptualize, validate and present items to measure social isolation.

Design/methodology/approach

The paper is based on theoretical and empirical investigation of the measures of social isolation, loneliness and related constructs such as social others, social loneliness and feeling of sociability. The items were generated through theoretical exploration of previous literature and later modified. The author examined the items through exploratory factor analysis, confirmatory factor analysis and further checked for external criterion validity. Data collected from 128 individuals, in India, were examined to design and validate the scale.

Findings

The finding of the paper is a ten-item social isolation scale. Using structural equation modeling, we have found extraversion and well-being significantly associated with final items in the present study, confirming the external quality of the scale.

Practical implications

Organizations may benefit by close examination of the presence of social isolation in employees along with providing support and assistance to employees so as to reduce negative consequences of social isolation and can address the well-being of the employee.

Originality/value

There is a dearth of developed and validated measures of social isolation in the literature. The study reveals the conceptualization and empirical validation of measures of social isolation in the Indian context so that researchers can move forward to develop theories on social isolation.

Details

Benchmarking: An International Journal, vol. 26 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 5 February 2020

Sushant Bhatnagar and Rajeev Kumra

Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues…

Abstract

Purpose

Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues with the IoT products. On the contrary, this paper aims to explore the motivators that could encourage customers of an IoT product to share their IoT product’s data with a third-party aggregator system to facilitate computer-generated product reviews which are defined as electronic Word of Thing (eWOT) in this paper.

Design/methodology/approach

An experiment was conducted with customized e-commerce prototypes of eWOT. Structural equation modeling analysis was conducted to test the measurement model by using confirmatory factor analysis and thereafter a structural model to test the relationships amongst the latent variables.

Findings

This paper found that five consumer motivators (personal innovativeness, enjoyment of helping, anticipated extrinsic rewards, moral obligations and venting negative feelings) contribute to eWOT intention.

Practical implications

This research advances the understanding of human interaction with computer-generated product reviews and opens up avenues for future studies in online consumer behavior in the IoT context.

Originality/value

This paper presents motivators for eWOT intention to share IoT product data. This is done through a novel concept of an experimental IoT-based prototype, namely, eWOT. These eWOT reviews can be generated from the IoT products data by applying analytics and using natural language generation. To the best of the authors’ knowledge, no other study has been conducted on this subject.

Details

Journal of Indian Business Research, vol. 12 no. 1
Type: Research Article
ISSN: 1755-4195

Keywords

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