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The purpose of this paper is to provide a review of both occupational safety and health (OSH) and worksite health promotion (WHP) efforts targeted at long-haul truck drivers (LHTDs) and to identify strengths and weaknesses to inform future interventions and/or policy changes.

Review of the literature was done to identify theoretical and methodological approaches frequently used for protecting and promoting the health and well-being of LHTDs.

Health and safety issues impacting LHTDs are complex and naturally interrelated. Historically, the majority of approaches to the health and safety of LHTDs have emphasized the safety side and there has been a lack of comprehensive and integrated WHP/OSH attempts.

The literature pertaining to LHTD health has expanded in recent years, but intervention and policy efforts have had limited success. Several scholars have discussed the need for integrating WHP/OSH efforts for LHTD health, but have not actually provided a description or a framework of what it entails in which the authors provide a conclusion to the review of the literature. The authors provide a critical discussion regarding a collaborative approach focused on National Institute of Occupational Safety and Health’s Total Worker Health model. The integration further promotes an advancement of theoretical and methodological strategies.

The case compares two U.S. Department of Defense (DoD) programs from the 1970s and 1980s: (1) “stealth” combat aircraft, capable of evading detection or engagement by anti-aircraft systems, and (2) precision attack of hardened ground vehicles from “standoff” distances, i.e., far behind the battle lines. Conceived at roughly the same time, motivated by the same strategic challenge, and initially driven by the same DoD organization, stealth combat aircraft progressed from idea to deployment in less than eight years---an astounding pace for a complex military system---while a demonstrated system for standoff precision strike against mobile ground targets was not fully implemented. The case highlights the critical role of the Defense Advanced Research Projects Agency (DARPA), part of the DoD, regarded as one of the most innovative entities in the U.S. federal government.

The case highlights factors that facilitate rapid, successful implementation of radically innovative or disruptive concepts. Students are introduced to the organizational realities facing such projects, including issues of strategic clarity, interdepartmental competition and cooperation, executive leadership, and timing. Comparing the differences in implementation of the two programs in the case reveals issues relevant to any large organization seeking to bring innovative concepts to fruition.

This paper aims to examine the double-edged sword effects of work-related rumination on employees’ innovative performance. Drawing upon Conservation of Resources (COR) theory, this study developed a model to reveal the mechanism through which work-related rumination affects employees’ innovative performance.

Data were collected from a sample of employees and their managers at an information technology services firm in China. A two-wave data collection method with a one-month interval was employed. The analysis was conducted using structural equation modeling on 482 paired manager-subordinate responses.

Our findings highlight the complex interplay between work-related rumination and innovative performance. Specifically, affective rumination was found to detract from employees’ innovative performance, whereas problem-solving pondering had a positive effect. Notably, creative self-efficacy emerged as a key mediator in these relationships. Furthermore, employees’ perceived organizational support moderated the impact of rumination on creative self-efficacy and, consequently, on innovative performance, buffering the negative effects of affective rumination and enhancing the positive effects of problem-solving pondering.

Firstly, it enriches the existing literature on work-related rumination by exploring its nuanced influence on employees’ innovative performance. Secondly, it illuminates the underlying mechanism through which work-related rumination affects innovative performance, mediated by creative self-efficacy. Lastly, it highlights the crucial role of perceived organizational support in moderating these relationships, offering valuable insights for practitioners seeking to foster a more innovative work environment.

In recognising the key role of business intelligence and big data analytics in influencing companies’ decision-making processes, this paper aims to codify the main phases through which companies can approach, develop and manage big data analytics.

By adopting a research strategy based on case studies, this paper depicts the main phases and challenges that companies “live” through in approaching big data analytics as a way to support their decision-making processes. The analysis of case studies has been chosen as the main research method because it offers the possibility for different data sources to describe a phenomenon and subsequently to develop and test theories.

This paper provides a possible depiction of the main phases and challenges through which the approach(es) to big data analytics can emerge and evolve over time with reference to companies’ decision-making processes.

This paper recalls the attention of researchers in defining clear patterns through which technology-based approaches should be developed. In its depiction of the main phases of the development of big data analytics in companies’ decision-making processes, this paper highlights the possible domains in which to define and renovate approaches to value. The proposed conceptual model derives from the adoption of an inductive approach. Despite its validity, it is discussed and questioned through multiple case studies. In addition, its generalisability requires further discussion and analysis in the light of alternative interpretative perspectives.

The reflections herein offer practitioners interested in company management the possibility to develop performance measurement tools that can evaluate how each phase can contribute to companies’ value creation processes.

This paper contributes to the ongoing debate about the role of digital technologies in influencing managerial and social models. This paper provides a conceptual model that is able to support both researchers and practitioners in understanding through which phases big data analytics can be approached and managed to enhance value processes.

This study examines the relationship between the use of management controls and the perception of meaningful work. Meaningful work is an important driver of individual performance of managers, and employees and can be enabled by sufficient use of management controls. The purpose of this paper is to address this issue.

Based on bibliometric analyses and a structured literature review of academic research studies from the organizational, management and accounting literature, the authors develop a conceptual model of the relationship between the use of management controls and the perception of meaningful work.

First, the authors propose that the use of formal management controls in a system (i.e. the levers of the control framework) is more powerful than using unrelated formal controls only. Second, they suggest that the interaction of a formal control system together with informal controls working as a control package can even stretch the perception of meaningful work. Third, they argue that the intensity of the control use matters to enhance the perception of meaningful work (inverted u-shaped relationship).

This study presents the first conceptual model of the relationship between the use of management controls and the perception of meaningful work. It provides valuable implications for practice and future research in the field of performance management.