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Given the instability and volatility of the labour market and the global talent scarcity, placing more attention on job employability is fundamental. In this context, the literature has already extensively examined employability as a crucial individual aspect, identifying some significant antecedents, including the applicability of training on the job. The present study aims to examine the impact that teaching employees to craft their job may have on the levels of applicability of training and if, in turn, this improves self-perceived employability.

The authors involved three private organizations that followed three workshops on job crafting behaviour. To empirically assess the intervention, the authors asked participants of the workshop to complete four quantitative diaries on a weekly basis, i.e. one per week, one before the intervention and three after the intervention. The diaries comprised measures of job crafting behaviours, applicability of training and self-perceived employability.

Multi-level analysis of data collected provided support to the positive associations between job crafting behaviour and self-perceived employability with the mediating effect of applicability of training. Notably, the applicability of training improves when individuals search for challenges, which indirectly affects perceived employability in terms of organizational sense.

In the present study, no control group was used with which the results of our intervention could be compared. However, this does not affect the overall results, given the amount of intraindividual variability.

The paper proposes initial avenues for promoting employability at work via the use of behavioural job crafting intervention.

The article investigates the incidence and regularity of performance of marketing‐mix activities in Third World business contexts. The results support a relatively high level of incidence and regularity of performance of marketing‐mix activities — thus implying their “applicability”. However, the results suggest that corporate factors influence the performance of marketing‐mix activities.

The Maintenance Management Framework for Asset Management (MMFAM) is a recently modeled framework to ensure the alignment of maintenance management with physical asset management based on the ISO 55000 series for asset management. In this context, the purpose of this paper is to discuss the applicability of the MMFAM considering the operational context of a hydroelectric power plant.

The paper adopted the case study method for the discussion of the applicability of the MMFAM to a real operational context. A hydroelectric power plant was chosen as the scope of the case study due to its relevance since the electricity sector is an example of an asset-intensive industry in which asset management performance is fundamental. To gain a detailed understanding of the organization, data were collected through direct requests to the plant, informal meetings with technical collaborators, a technical visit to the hydroelectric plant and on-site data collection. Then, the MMFAM processes were demonstrated based on this information and the results supported the discussion of the MMFAM applicability.

The case study provided a deeper understanding of the processes included in the MMFAM. In addition, the results suggested the applicability of the framework to other organizations besides the hydroelectric sector due to its generic approach and the possibility of choosing appropriate tools to support and implement the MMFAM processes.

The case study is expected to contribute to the practical understanding of the MMFAM processes within an operational context and assist maintenance professionals and researchers in their implementation in other organizations.

Although the literature provides different maintenance management frameworks, their practical discussion based on a real operational context is still a gap. Accordingly, this paper discusses the MMFAM under a case study method to expand its understanding beyond theory and contribute to practical comprehension in depth.

This paper aims to examine the relationships between undergraduate management students’ emotional interest (EI) and cognitive interest (CI) in research methods (RMs), the perceived applicability of RMs to future careers and motivation to study RMs within the Asian higher education context. This draws implications for better pedagogical approaches to motivating them to study RMs.

A pre–post-semester cohort study design was conducted with 172 undergraduate management students enrolled on an RMs subject by means of a self-administrated online survey using Qualtrics. A total of 170 students responded to the pre-semester survey and 116 students to the post-semester one. The main instrument was adapted from Mazer’s (2012) study interest scale. Regression analysis was applied to investigating the relationship between students’ EI and CI in RMs with perceived applicability of RMs to future careers and their motivation to study RMs.

The findings have shown that there was a significant relationship between undergraduate management students’ CI and EI and perceived applicability of RMs to future careers and their study motivation towards RMs. The regression model built on the two independent variables of students’ EI in RMs and their perceived applicability of RMs to future careers served to have higher accuracy in predicting their study motivation.

This paper contributes to enriching the conceptual understanding of the conflating influences of undergraduate management students’ intrinsic and extrinsic motivation levels on studying RMs within the Asian higher education context. Practically, this study explores different pedagogical approaches to better motivating students to study RMs.

Argues that the Hempel‐Oppenheimian logical scheme for explanations and predictions also applies to prescriptive statements (recommendations) derived from theoretical models in the normative sciences. Presents ideas concerning the allocation of effort in developing normative models for such purposes. Three characteristics of the model and the model‐building process, together with a suggested qualitative relationship between these properties, are discussed, namely the “applicability” of the model, the “simplicity” of the principle derived from the model, and the “level of technique” applied, a discussion similar to that of Bronfenbrenner. It is proposed that the subjective value to the model‐builder may be envisaged as a function of these three main characteristics and that the model‐design process then may be interpreted as a constrained optimisation problem.

This paper aims to explore the applicability of construction partnering in Mainland China, and to provide useful suggestions and possible implications for decision‐makers to adopt this collaborative approach to project procurement.

Document analysis was first employed to identify the favourable conditions and potential difficulties in the application of partnering in Mainland China. A series of face‐to‐face semi‐structured interviews targeting academic experts and industrial practitioners was undertaken to solicit their perceptions of the benefits and difficulties of implementing partnering in Mainland China, coupled with their overall assessment of the applicability of, and suggestions for, the implementation of partnering in the region.

The results of document analysis indicated that the cultural roots of co‐operation and mutual trust, together with the increasing need to improve the current state of project performance in Mainland China, underpin the application of partnering in the construction market, although its application and generalisation still encounter some significant difficulties. The perceived benefits, potential barriers and effective strategies for partnering application in Mainland China were determined from the interviewees. The interview results further supported the applicability of construction partnering and provided constructive and practical suggestions for possible implementation in the Mainland Chinese construction industry. The partnering approach is evaluated as being practicable and appropriate in this study for the construction industry in Mainland China.

Although it is essential to base the analysis of partnering applicability on a qualitative study, an empirical quantitative investigation of the benefits and difficulties of partnering application could further reinforce the quality of analysis. Future research could look into the project‐based assessment of partnering application in terms of the perceived benefits and potential difficulties of, and success factors for, partnering implementation in Mainland China.

Policy‐makers aiming for the introduction of the partnering approach could be equipped with stronger confidence from favourable cultural environment and industrial needs. Restrictions to the application of partnering underlying in the current working culture could be mitigated when appropriate strategies are taken by the initiators of the partnering approach.

Increased worldwide attention on construction partnering has shed light on the construction industry in Mainland China to achieve better value for money in project procurement and management. This paper provides valuable reference for decision‐makers to consider the adoption of partnering based on the qualitative analysis of the applicability of partnering in the construction industry in Mainland China.

With the increased importance of training in organizations, creating important and meaningful programs are critical to an organization and its members. The purpose of this paper is to suggest a four‐phase systematic approach to designing and evaluating training programs that promotes collaboration between organizational leaders, trainers, participants and evaluators.

The paper presents a case study of a leadership training program conducted at a Midwestern corporate university. Analysis of the qualitative data from interviews with participants and field notes during the first two iterations of the program highlight three major aspects that were then used to develop a unique measure for the evaluation of subsequent iterations. The case study was conducted over a period of 31/2 years involving a total of 175 managers.

A main finding in this study was that content was three times stronger than applicability. This finding was critical in understanding the learning focus of the program and the significance of developing a unique evaluation system that is both meaningful and important to the organization and its members.

The four‐phase approach to develop unique evaluations involving both content and applicability would be of value to human resource professionals involving in designing training programs for career development of managers.

This four‐phase approach focuses on learning and development at the individual and organizational levels. It aligns with Kolb's experiential learning theory and is a process that provides a feedback system for organizations to engage in double‐loop learning to improve the design, delivery and evaluation of their training programs.

This paper provides an analysis of the fragmented sphere of international agreements on public procurement law in the European Union. After a comprehensive review of the most important European Communities agreements on public procurement, this paper describes how these agreements can be subdivided within certain categories and certain types and how this categorisation and typification is vital with regard to the legal effect of a particular agreement. In this regard, it is argued that EC agreements on public procurement (including the World Trade Organization Agreement on Government Procurement) are, in principle, capable of direct applicability. Thus, disappointed bidders are - from an EU perspective -, in general, able to invoke the provisions of such EC agreements before national courts and authorities, based upon the non-discrimination principles incorporated in such agreements.

This study aims to explore how to deanonymize cryptocurrency money launderers with the help of machine learning (ML). Money is laundered through cryptocurrencies by distributing funds to multiple accounts and then reexchanging the crypto back. This process of exchanging currencies is done through cryptocurrency exchanges. Current preventive efforts are outdated, and ML may provide novel ways to identify illicit currency movements. Hence, this study investigates ML applicability for combatting money laundering activities using cryptocurrency.

Four supervised-learning algorithms were compared using the Bitcoin Elliptic Dataset. The method covered a quantitative analysis of the algorithmic performance, capturing differences in three key evaluation metrics of F1-scores, precision and recall. Two complementary qualitative interviews were performed at cryptocurrency exchanges to identify fit and applicability of the algorithms.

The study results show that the current implemented ML tools for preventing money laundering at cryptocurrency exchanges are all too slow and need to be optimized for the task. The results also show that while not one single algorithm is most suitable for detecting transactions related to money-laundering, the specific applicability of the decision tree algorithm is most suitable for adoption by cryptocurrency exchanges.

Given the growth of cryptocurrency use, this study explores the newly developed field of algorithmic tools to combat illicit currency movement, in particular in the growing arena of cryptocurrencies. The study results provide new insights into the applicability of ML as a tool to combat money laundering using cryptocurrency exchanges.