&lt;title&gt;One-to-one modeling and simulation: a new approach in customer relationship management for grocery retail&lt;/title&gt;

Baydar, Cem M.

doi:10.1117/12.460245

Cited by 14 publications

(3 citation statements)

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“…In this way, this research provides a first answer to the open issue of "how" to quantitatively investigate such factors in real business environments (Croson et al, 2013;Brocklesby, 2016). The approach described also opens up new avenues for adopting an individualized, "one-to-one", management style reducing the bias related to the different individual characteristics of workers (Baydar, 2002).…”

Section: Introductionmentioning

confidence: 91%

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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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Section: Introductionmentioning

confidence: 91%

“…, 2013; Brocklesby, 2016). The approach described also opens up new avenues for adopting an individualized, “one-to-one”, management style reducing the bias related to the different individual characteristics of workers (Baydar, 2002).…”

Section: Introductionmentioning

confidence: 99%

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

Aloini

Colladon

Gloor

et al. 2021

TQM

View full text Add to dashboard Cite

show abstract

“…In one of our early works (Baydar, 2002a), we have discussed a conceptual framework for individual pricing and suggested that using agent-based simulations would be useful to analyze and optimize grocery store performance. Furthermore, we have discussed the preliminary results of an optimization algorithm which can be used for personalized pricing (Baydar 2002b(Baydar , 2003.…”

Section: Previous Workmentioning

confidence: 99%