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This research aimed to explore the prevalence of musculoskeletal disorders (MSDs) and related factors among subcontracted cleaners in a teaching hospital in Thailand.

A cross-sectional study was conducted of 393 subcontracted cleaners in a teaching hospital, from May to June 2020. Face-to-face interviews were carried out using a standard questionnaire, consisting of four parts: (1) participant characteristics, (2) stress test, (3) work characteristics and (4) standardized Nordic questionnaire, Thai version, for MSDs outcome. Multiple logistic regression analyses were performed to determine the association between MSDs and related factors.

The prevalence of MSDs was 81.9%, involving mostly the lower back (57.7%), followed by the shoulder (52.6%). Factors significantly associated with MSDs were as follows: male gender (OR = 3.06, 95% CI [1.19, 7.87]), severe stress (OR = 2.72, 95% CI [1.13, 6.54]), history of injuries (OR = 4.37, 95% CI [1.27, 15.11]), mopping posture (OR = 2.81, 95% CI [1.43, 5.50]) and task duration (OR = 1.90, 95% CI [1.01, 3.57] for 2–4 h and OR = 3.39, 95% CI [1.17, 9.86] for more than 4 h). Sick leave due to MSDs was associated with history of injuries, Thai nationality and having another part-time job.

The study findings about MSDs in terms of prevalence and related factors contributed to limited pool of the knowledge among subcontracted hospital cleaners in Thailand and middle-income country settings. With growing popularity in outsourcing cleaning services among hospitals in these countries, the study findings could raise a concern and inform policymakers and hospital administrators the importance of the magnitude and risk factors for MSDs necessitating design of preventive strategies.

This study aims to analyse the role of tacit knowledge in fulfilling employees’ side of the psychological contract in blue-collar work.

The research questions are as follows: How is tacit knowledge acquired in blue-collar work and how do blue-collar workers use tacit knowledge to fulfil their obligations within the psychological contract? This qualitative study comprising 30 interviews uses theory-led content analysis.

Blue-collar workers need time and experience to acquire tacit knowledge. An important aspect of tacit knowledge is knowing the ways in which the work is best done in practice and seeking better ways of doing the job. Workers use their tacit knowledge to perform their work well and efficiently, even in problematic situations, and to improve their work to fulfil their side of the psychological contract.

Organisations should see the value of the tacit knowledge blue-collar workers possess and develop actions that involve the workers in sharing their tacit knowledge and also in planning the actions related to this knowledge sharing.

This study adds to the limited body of studies on the relationship between tacit knowledge and the psychological contract.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.