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The purpose of this paper is to examine the distribution of learning and training opportunities in the Finnish workforce. It will concentrate on the sectors of the workforce that lack these opportunities.

The Working Conditions Barometer (WCB) data from 2008, 2009 and 2010 are used (N = 3,326) in this investigation. The focus of the study is to examine those employees whose learning and training opportunities fail to match the positive visions of the current “super professional hype”. The problems associated with the workforce training margin are considered as a part of the so-called work process debate.

Findings suggest that age, gender, type of industry and socioeconomic status have an independent influence on an individual’s presence in the training margin: women, older employees, employees in manufacturing and the private service sector and manual workers have a greater risk than others do. The relative differences between the social classes are still prevalent: incapacity and marginalization are primarily working class problems.

The workers should collectively demand certain benefits more forcefully, even when working under fixed-term contracts. Employers should be pressured to organise development opportunities and training for the fixed-term employees, including the type of training that not only benefits an employee in that one company but also the employees’ working life in general. Employers should be persuaded to organise the type of training that improves the chances of a fixed-term or otherwise powerless employee to find a new, perhaps better and more secure job.

Because the percentage of response to the WCB is exceptionally high, 80 per cent on average, the information obtained from the random sample can be generalised to represent all of the working wage earners in Finland and in a European context as well.

Word clouds, created by a variety of web applications, are enticing new tools for some social studies educators. Teachers should be prepared, though, for the possibility that our zeal for a new resource may prevent us from adequately examining its value. This article recounts a class activity involving the creation of a word cloud, the Wordles of major documents from the U.S. Civil Rights Movement, analyzes the lesson’s strengths and weaknesses, and offers guidance for the meaningful use of word cloud applications in the classroom.

The purpose of this paper is to present research that was conducted with an objective to conceptualize and develop an instrument for the measurement of the perception of IT support service practitioners about the applicability of lean concepts in IT support services.

Scale items were identified from current literature and the survey instrument was used to collect data from IT support service practitioners. The constructs’ measurement models were tested and the scale was validated by using statistical tools.

The results of the study indicate that the operational measures developed here satisfy the criteria for unidimensionality, reliability and validity.

While selecting and excluding measurement items for the survey, the researchers have followed established principles of survey research; but it may have been affected by the personal bias of the author. The sample for the survey was drawn from IT support service companies located in India, thus the results are generalizable only to the extent that these businesses represent the population of all businesses. Another limitation is that no prior survey/case studies were carried out to collect IT service practitioner's perception about the applicability of lean practices.

This paper provides a new measurement instrument for measuring the applicability of lean practices in IT support service environment.

The purpose of this paper is to evaluate inventory management in the private healthcare sector in Malaysia, with a particular focus on the distribution of medicines from a wholesaler to clinics. Currently, there are issues with service levels to clinics that need addressing.

The paper adopts a case study approach, with data collected through process mapping, interviews and data analysis. Data flow diagrams are used to visualise the organization's supply chain current and future process. Interviews are used to identify the main supply chain issues, with triangulation of these opinions through data analysis.

The findings identify two main issues within the case study company – urgent orders and stock availability at the wholesaler. From this, a future state design of the supply chain is proposed, based around vendor‐managed inventory. Barriers to achieving this are also identified, including consideration of current supply chain management capabilities in Malaysia.

Only a single case study supply chain is studied, although two echelons are investigated. While this may limit the generalisation of the findings, there is value in demonstrating the benefits modern supply chain management techniques can bring to developing world healthcare supply chains.

The paper shows that modern supply chain management techniques can bring benefits to healthcare supply chains in developing countries.

The value of the paper arises from providing a detailed analysis of a healthcare supply chain in the developing world. There have been only a small number of other studies published in the literature.

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

The framework could be used by practitioners as a starting point for performance system design.

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents can serve as companions, helping employees cope with work-related stress. This research introduces the concept of “artificial companionship,” which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their mental well-being.

This research uses a mixed methods approach grounded in social support theory from psychology and management to develop a conceptual framework for the stress-alleviating implications of artificial companionship. A qualitative employee survey is conducted to justify the relevance of the propositions.

This research delineates the concept of artificial companionship. It highlights four distinct roles that AI can play in companionship – instrumental, informative, caring, and intimate. Building on this foundation, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees.

Firms should consider aligning the types of artificial companionship with the demands inherent in employees’ job responsibilities to better reinforce their resilience and sustainment in overcoming work-related challenges.

This research introduces a new perspective on artificial companionship through the lens of social support theory. It extends the current understanding of human-robot collaboration in service workspaces and derives a set of propositions to guide future investigations.