Alexander A. Kharlamov

Aston University · Aston Business School

Employee turnover (ET) is a major issue faced by firms in all business sectors. Artificial intelligence (AI) machine learning (ML) prediction models can help to classify the likelihood of employees voluntarily departing from employment using historical employee datasets. However, output responses generated by these AI-based ML models lack transpare...

Frequent handwashing with soap for at least 20 seconds at a time is widely advised as one of the preventive measures against COVID-19. Yet, while it is possible to quickly influence individual hygiene behavior in the short term, in the long run, changing handwashing culture in a particular country as well as globally is a much more difficult task....

Improving productivity in the entertainment industry is a very challenging task as it heavily depends on generating attractive content for the consumers. The consumer-centric design (putting the consumers at the centre of the content development and production) focuses on ways in which businesses can design customized services and products which ac...

This paper proposes a new framework of Leadership as a Medium of Corporate Social Identity (LeaM-CSI) linking cultural values at a state level with corporate diversity and inclusivity. In this framework, leadership, through communication of cultural values, increases the salience of these values at a corporate level, increasing the corporate social...

We propose a new systematic method to answer the research question: ‘What is the financial and economic impact of servitizing the firm, digitising the firm, and combined servitization and digitization strategy?’ Our method quantifies servitization, digitization and their synergy by analysing their relationship with firm financial and economic outco...

There is a huge opportunity in mining operational data in the supply chain (SC) to support strategic segmentation decisions. This research has the objective of developing a framework to support strategic SC segmentation decisions. This research is exploratory in nature, with the methodology based on action research combined with a single empirical...

The new General Data Protection Regulation (GDPR) has recently become the new personal data standard in the European Union (EU). Business efforts are concentrated on being ‘GDPR-compliant’—i.e. companies operating in the EU are creating safer personal data environments and ensuring that informed consent is sought from clients for actions such as da...

This paper develops a new framework linking cross-cultural human values, regulation, and governance in the area of cybersecurity. Cyber space is currently transitioning from a laissez-faire into a regulated area. Yet, there is a significant heterogeneity in terms of the strength of commitment in different states to regulation and governance of digi...

Much of business literature addresses the issues of consumer-centric design: how can businesses design customized services and products which accurately reflect consumer preferences? This paper uses data science natural language processing methodology to explore whether and to what extent emotions shape consumer preferences for media and entertainm...

This paper proposes a new Cyber Domain-Specific Risk Taking (CyberDoSpeRT) scale which aims to measure individual risk taking and risk perception towards cyber risks across 5 different dimensions. To test and validate the scale, we recruit representative samples of populations from two countries (US and UK). We show that the US population tends to...

Technological advances over the last decade saw the rise of ICT and IoT, paving the way for the Supply Chain of Things. Blockchain technology was one of the most recent and potentially most significant developments. Blockchain technology are secure by design and can enable decentralization and visibility, with application in cryptocurrency transact...

Supply chains (SC) are a source of competitive advantage. However, managing SC’s is hard due to its size, dynamism, complexity and mostly, context dependency. To overcome such difficulties and better match SC practices with the context characteristics, the adoption of analytical methods is required. Exploiting the availability of operational data,...

The Kraljic purchasing portfolio matrix (KPM), which is based on the dimensions of strategic impact (SI) and supply market complexity (SMC), is a valuable instrument for defining purchasing strategies. This paper combines action research with a single case study to apply the KPM, which was developed at the head offices of a multinational constructi...

Purchasing is one of the core activities of most industries and performance in this area directly impacts the overall performance of a company. The purchasing portfolio model used in this paper, based on the Kraljic approach, assumes a relevant role in defining purchasing strategies, although its application in the construction industry has been li...

Companies are facing challenging circumstances: markets are evolving; clients are becoming more and more demanding and unpredictable; product variety is rising; time windows are shrinking; and error tolerance is decreasing. Therefore, companies must adapt and improve their supply chains, develop a differentiated supply chain strategy to solve the s...