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This paper aims to evaluate employee’s perception regarding information pollution and determined the factors that lead to perceived infollution. In the case of this study, a four-dimensional scale of perceived infollution is presented. In addition, this study quantified information pollution in contrast to using the measurement tools of information quality.

A sequential exploratory mixed-method design was used to validate the measurement scale. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. In this study, a four-dimensional second-order scale of perceived information pollution with a total of 19 items or sub-dimensions managed to be developed using exploratory factor analysis and confirmatory factor analysis.

The measurement scale confirmed that perceived information pollution in the context of workplace environment consisted of four dimensions, namely, intrinsic PIP, accessible PIP, contextual PIP and representational PIP where PIP stands for Perceived Information Pollution.

Management may use the four dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing.

This is the first attempt of exploring the dimensions and validating the measurement scale of perceived infollution.

Currently, employees are facing information explosion in the presence of disruptive information and communication technologies of industry 4.0. With the prevalent nature of information pollution, employees are suffering to process large volume of information in order to access quality information. The objective of present study is to develop a measurement scale of perceived information pollution in the context of workplace. Furthermore, this study aims to assess the nomological validity of the proposed construct.

This study has employed a sequential exploratory mixed-method design to develop and validate the measurement scale of perceived information pollution. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. The present study has used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to analyze data in AMOS.

The present study has developed the second-order measurement scale of perceived information pollution. The perceived information pollution comprises of five dimensions – accessible, intrinsic, contextual, representational, and distractive information pollution. This study has also confirmed the nomological validity of the information pollution in relation to employee's job satisfaction, work effort, and learning effort.

Management may employ the five dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing.

This study has contributed to the literature of information management by providing a five-dimensional scale of perceived information pollution and confirming its nomological validity.

The purpose of this paper is to identify the key performance factors that can lead toward sustainability in the Industry 4.0 supply chains of manufacturing industries.

Questionnaire is used to collect the data from manufacturing sector to prioritize the factors, which integrates both Industry 4.0 and sustainability. For this, stepwise weight assessment ratio analysis (SWARA) method is used to obtain the weights for criteria and sub-criteria to prioritize the factors.

The present study brings the findings about five key performance factors. Social factor needs much attention among all the criteria, followed by ecological, economic, information technology and dynamic capability theory. Further, change management, third-party audits and novel business models are key sub-factors to improve performance of sustainability in Industry 4.0 supply chains.

This study prioritized the performance factors of Industry 4.0 and sustainable supply chain in Indian manufacturing sector. These prioritized factors help to improve performance of organizations, which are practicing the Industry 4.0 and sustainability practices. Managers in manufacturing industries can use the SWARA for assessment of weights for the criteria and sub-criteria factors to take appropriate decisions to improve the organizations’ performance.

Managers in manufacturing industry can use these prioritized factors to improve the performance of their supply chains.