Investigating identity fraud management practices in e-tail sector: a systematic review

The influence of organisational culture and information security culture on employee compliance behaviour

Purpose

Organisational culture plays an important role in influencing employee compliance with information security policies. Creating a subculture of information security can assist in facilitating compliance. The purpose of this paper is to explain the nature of the combined influence of organisational culture and information security culture on employee information security compliance. This study also aims to explain the influence of organisational culture on information security culture.

Design/methodology/approach

A theoretical model was developed showing the relationships between organisational culture, information security culture and employee compliance. Using an online survey, data was collected from a sample of individuals who work in organisations having information security policies. The data was analysed with Partial Least Square Structural Equation Modelling (PLS-SEM) to test the model.

Findings

Organisational culture and information security culture have significant, yet similar influences on employee compliance. In addition, organisational culture has a strong causal influence on information security culture.

Practical implications

Control-oriented organisational cultures are conducive to information security compliant behaviour. For an information security subculture to be effectively embedded in an organisation's culture, the dominant organisational culture would have to be considered first.

Originality/value

This research provides empirical evidence that information security subculture is influenced by organisational culture. Compliance is best explained by their joint influence.

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Purpose

Industry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.

Design/methodology/approach

This study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.

Findings

Nine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.

Research limitations/implications

Even though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.

Practical implications

This article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.

Originality/value

This article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

Data-driven online service supply chain: a demand-side and supply-side perspective

Purpose

Big data analytics (BDA) and machine learning (ML) can be used to identify the influencing factors of online service supply chains (OSSCs) and can help in the formulation of optimal pricing strategies. This paper analyzes the influencing factors of customer online shopping from the demand-side perspective and formulates optimal pricing strategies from the supply-side perspective.

Design/methodology/approach

This paper uses ML and the Stackelberg game approach to discuss OSSC management. ML's feature selection algorithm is used to identify the important influencing factors of 12,330 customers' online shopping intention data using four different classifiers. The Stackelberg game approach is used to analyze the pricing strategies of integrators and suppliers in OSSCs.

Findings

First, the feature selection algorithm can improve the efficiency of optimization in big data samples of OSSCs. Second, the level of visualization and the quality of information (page value) will affect the purchase behavior of customers. Finally, the relationship between the optimal pricing and the level of visualization is obtained through the Stackelberg game approach.

Practical implications

This paper reveals the phenomenon of “mystery customers,” and the results of this paper can provide insights and suggestions regarding the decision-making behavior of integrators and suppliers in OSSC management.

Originality/value

Considering customer behavior intention, this paper uses a data-driven method to explore the influencing factors and pricing strategies of OSSCs. The empirical results enrich the existing OSSC management research, proposing that the level of product visualization and information quality plays an important role in OSSCs.