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Article
Publication date: 30 January 2024

Vibhav Singh, Niraj Kumar Vishvakarma, Hoshiar Mal and Vinod Kumar

E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by…

Abstract

Purpose

E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by e-commerce companies to determine which dark patterns are the most profitable and risky.

Design/methodology/approach

The analytic hierarchy process (AHP) prioritizes the observed categories of dark patterns based on the literature. Several corporate and academic specialists were consulted to create a comparison matrix to assess the elements of the detected dark pattern types.

Findings

Economic indicators are the most significant aspect of every business. Consequently, many companies use manipulative methods such as dark patterns to boost their revenue. The study revealed that the revenue generated by the types of dark patterns varies greatly. It was found that exigency, social proof, forced action and sneaking generate the highest revenues, whereas obstruction and misdirection create only marginal revenues for an e-commerce company.

Research limitations/implications

The limitation of the AHP study is that the rating scale used in the analysis is conceptual. Consequentially, pairwise comparisons may induce bias in the results.

Practical implications

This paper suggests methodical and operational techniques to choose the priority of dark patterns to drive profits with minimum tradeoffs. The dark pattern ranking technique might be carried out by companies once a year to understand the implications of any new dark patterns used.

Originality/value

The advantages of understanding the trade-offs of implementing dark patterns are massive. E-commerce companies can optimize their spent time and resources by implementing the most beneficial dark patterns and avoiding the ones that drive marginal profits and annoy consumers.

Details

Measuring Business Excellence, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 20 May 2022

Vibhav Singh and Surabhi Verma

The uncontrolled spread of COVID-19 has forced employees to use telework technologies and platforms to perform different tasks, that is, “mandatory telework”. COVID-19 is a…

Abstract

Purpose

The uncontrolled spread of COVID-19 has forced employees to use telework technologies and platforms to perform different tasks, that is, “mandatory telework”. COVID-19 is a unique situation that has shocked economies and societies and led to a reshaping of the perception of employees and firms about work practices. However, due to the recent nature of the phenomenon, it is not usually understood how employees would cope with this forced change. Thus, the study aims to explore COVID-19 awareness and employees’ behavior toward mandatory telework.

Design/methodology/approach

A sample of 201 Danish employees was selected to examine the research questions using partial least square (PLS) structural equation modeling.

Findings

The findings show that COVID-19 awareness reduces technological anxiety and increases positive attitudes and job satisfaction. The authors have also found the full and partially mediating role of attitude and technological anxiety on the relationship between COVID-19 awareness and job satisfaction.

Originality/value

The study employed the theoretical lens of job demands-resources theory to understand COVID-19 awareness and technological anxiety dynamics on employees’ attitudes toward mandatory telework and job satisfaction during the pandemic.

Details

Information Technology & People, vol. 36 no. 5
Type: Research Article
ISSN: 0959-3845

Keywords

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