Human Factors: Spanning the Gap between OM &amp; HRM

Neumann, Patrick; Dul, Jan

doi:10.32920/14641272

Cited by 10 publications

(19 citation statements)

References 56 publications

(61 reference statements)

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“…Moreover, starting from the literature, a conceptual framework that summarizes the principal steps of e-commerce implementation is developed. Our literature analysis follows the procedure suggested by Neumann and Dul [14] and already applied in many literature reviews as [6,7,[15][16][17][18]. This process includes data collection, descriptive analysis, categorization analysis, and, finally, data evaluation and interpretation, which plays an important role in defining the future research agenda.…”

Section: Literature Review 21 Literature Review Methodologymentioning

confidence: 99%

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

et al. 2022

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E-commerce is always more diffused as a selling channel around the whole world market, and its importance has increased and continues to increase with the COVID-19 pandemic emergency. It provides enterprises a lot of opportunities, as the importance of physical stores to sell goods is bypassed. However, it has also changed the role of logistics in the supply chain. For this reason, this work aims to identify the main logistics research areas related to e-commerce implementation and the factors and key performance indicators, which should be taken into account for each logistics research area, with particular attention to sustainable aspects. For doing this, a structured and comprehensive literature analysis is carried out. Keywords associated with e-commerce and logistics areas are matched to identify the most interesting works related to its implementation. From the analysis, five main research areas are identified: Supply Chain Network Design (SCND); Outbound Logistics (OL); Reverse Logistics (RL); Warehousing (WR); and IT and data management (E-IT). For each area, key factors, strategies and performance indicators have been identified. Finally, a methodological framework that summarizes the results of the analysis is presented; this is a useful tool for managers to implement or expand their e-commerce business. Many works are focused on one research area, carrying out critical factors, models, and methods to implement that topic. Instead, the methodological framework presented here summarizes multiple research areas from a logistic point of view, identifying for each one input and output variables and how they influence each other.

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Section: Literature Review 21 Literature Review Methodologymentioning

confidence: 99%

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

et al. 2022

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“…Scientific literature showed that ergonomic intervention is the best strategy to improve workers' health and safety by preventing MSD and reducing injuries during the work, discomfort, absenteeism (Burdorf, 2010 ; Takala et al, 2010 ; Botti et al, 2014 ), and enhancing operator performance, productivity, efficiency, product quality, and reliability (Hendrick, 2003 ; Dul et al, 2004 ; Roper and Yeh, 2007 ; Vayvay and Erdinc, 2008 ; Neumann and Dul, 2010 ). Furthermore, law regulations in this area remind organizations of the importance of including an ergonomic aspect when designing a prefabricated workstation (Otto and Scholl, 2011 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research

et al. 2022

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The industry increasingly insists on academic cooperation to solve the identified problems such as workers' performance, wellbeing, job satisfaction, and injuries. It causes an unsafe and unpleasant working environment that directly impacts the quality of the product, workers' productivity, and effectiveness. This study aimed to give a specialized solution for tests and explore possible solutions to the given problem in neuroergonomics and human–robot interaction. The designed modular and adaptive laboratory model of the industrial assembly workstation represents the laboratory infrastructure for conducting advanced research in the field of ergonomics, neuroergonomics, and human–robot interaction. It meets the operator's anatomical, anthropometric, physiological, and biomechanical characteristics. Comparing standard, ergonomic, guided, and collaborative work will be possible based on workstation construction and integrated elements. These possibilities allow the industry to try, analyze, and get answers for an identified problem, the condition, habits, and behavior of operators in the workplace. The set-up includes a workstation with an industry work chair, a Poka–Yoke system, adequate lighting, an audio 5.0 system, containers with parts and tools, EEG devices (a cap and smartfones), an EMG device, touchscreen PC screen, and collaborative robot. The first phase of the neuroergonomic study was performed according to the most common industry tasks defined as manual, monotonous, and repetitive activities. Participants have a task to assemble the developed prototype model of an industrial product using prepared parts and elements, and instructed by the installed touchscreen PC. In the beginning, the participant gets all the necessary information about the experiment and gets 15 min of practice. After the introductory part, the EEG device is mounted and prepared for recording. The experiment starts with relaxing music for 5 min. The whole experiment lasts two sessions per 60 min each, with a 15 min break between the sessions. Based on the first experiments, it is possible to develop, construct, and conduct complex experiments for industrial purposes to improve the physical, cognitive, and organizational aspects and increase workers' productivity, efficiency, and effectiveness. It has highlighted the possibility of applying modular and adaptive ergonomic research laboratory experimental set-up to transform standard workplaces into the workplaces of the future.

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“…(IEA Council, 2000). Though practitioners have long recognized the importance of humans in operations (Neumann and Dul 2010;Stefanini et al, 2020), and Operations Management textbooks have included sections on human factors for a long time (e.g. Heizer & Render, 2007;Wild, 1995), only recently has the literature focused on human factors in material handling activities for the improvement of system efficiency (Grosse et al, 2015).…”

Section: Individual and Collective Human Factorsmentioning

confidence: 99%

“…Therefore, an open call for future research focusing on the link between warehousing system design and human aspects exists in the literature (Neumann & Dul, 2010;Battini et al, 2017;Calzavara et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In other words, research on the role of human and environmental variables in logistics activities is underdeveloped, even though it appears to be highly relevant for the improvement of system performance. A better understanding of such factors, indeed, may allow researchers a more reliable modelling of logistics systems to achieve higher overall performance and, at the same time, improve the safety and well-being of workers (Neumann & Dul, 2010;Battini et al, 2017;Calzavara et al, 2017). Particularly, even if there are some general indications that support optimal work climate, not all people respond in the same way to different factors (Lamberti et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

Aloini

Colladon

Gloor

et al. 2021

TQM

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PurposeThe purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being.Design/methodology/approachHuman and environmental factors play an important role in operations management activities since they significantly influence employees' performance, well-being and safety. Surprisingly, empirical studies about the impact of such aspects on logistics operations are still very limited. Trying to fill this gap, the research empirically explores human and environmental factors affecting the performance of logistics workers exploiting smart tools.FindingsResults suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being, however, showing different relationships depending on individual characteristics of each worker.Practical implicationsThe authors' research opens up new avenues for profiling employees and adopting an individualized human resource management, providing managers with an operational system capable to potentially check and improve workers' well-being and performance.Originality/valueThe originality of the study comes from the in-depth exploration of human and environmental factors using body-worn sensors during work activities, by recording individual, collaborative and environmental data in real-time. To the best of the authors' knowledge, the current paper is the first time that such a detailed analysis has been carried out in real-world logistics operations.

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Human Factors: Spanning the Gap between OM & HRM

Abstract: Human Factors: Spanning the Gap between OM & HRM

Cited by 10 publications

References 56 publications

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research

Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

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