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The purpose of this paper is to suggest that the effects of service quality (SQ) on outcome variables may shift over time. However, scant attention has been paid to capturing that shift. The current study uses the theory of relationship dynamics to capture the rate and direction of change in the effects of SQ attributes on customer satisfaction (CS) and emotional attachment (EA). For this purpose, the study takes CS-velocity and EA-velocity as dynamic outcomes of SQ.

A sample of 306 restaurant consumers responded to a structured questionnaire at three points in time. Confirmatory factor analysis was carried out, followed by analysis of the data through latent growth curve modeling using MPlus (Version 8.1).

SQ attributes positively affect CS and EA, but these effects diminish over time, as SQ attributes negatively influence CS-velocity and EA-velocity. In addition, the study demonstrates that dynamic elements strongly impact behavioral intentions (BI).

The study enables service and relationship marketing managers to better understand the role of SQ attributes in maintaining longitudinal satisfaction, attachment and BI. The insights from this longitudinal investigation help managers to formulate long-term service management and relationship management strategies.

This study is the first attempt to examine SQ’s dynamic outcomes using longitudinal panel data. It is the first study to introduce EA-velocity as a dynamic construct of EA and the first to examine the relationships of CS-velocity and EA-velocity with BI.

Contemporary scholars contend that the buyer–seller relationship is dynamic in nature, so it grows, matures and declines over time. However, most studies that adopt the dynamic perspective debates its conceptualization and how dynamic effects are captured. This scholarly discourse has led to multiple dynamic perspectives and resulted in fragmented and scattered literature on the subject. This study aims to synthesize the large body of research on dynamic perspectives in a systematic way.

This paper follows a systematic review approach to extract and review 192 research articles from four electronic databases: Web of Science, EBSCOhost Business, ScienceDirect and Emerald. Based on the inclusion criteria that the articles examine time-dependent relationship development in light of a generalizable dynamic perspective, 61 articles were selected for the final examination and reporting.

This review reveals that most research on the buyer–seller dynamic relationship follows at least one of four perspectives: the relationship lifecycle, relationship age, relationship velocity and the asymmetric–dynamic perspective. Each perspective offers a distinct conceptualization of relationship development and has certain advantages that enable researchers to capture information about relationships’ growth trajectory in a unique manner.

Firms need a set of diverse strategies for their customers, depending on the state of the relationships’ development, as strategies that pay off at initial levels may fail at later stages. This study helps managers select an appropriate dynamic perspective that best aligns with their customers’ stage of relationship development so they can devise customized relationship-management strategies.

To the best of the authors’ knowledge, this article is the first attempt to organize the discourse of a large body of research on dynamic perspectives, and therefore it helps academicians and practitioners to choose the dynamic perspective that best suits their objectives and research settings. This review documents key research areas that have been overlooked and highlights opportunities for future research.

The purpose of this study is to investigate the benefits of the turning point layout; a simulation model being applicable for strategic level is designed that compares systems with and without turning points. Specifically, the avoidance of deadlocks and prevention of conflicts is substantial.

Optimization process for different layouts and configuration of autonomous guided vehicles (AGVs) are worked out using statistical methods for design parameters. Regression analysis is used to find effective design parameters and analysis of variance is applied for adjusting critical factors. Also, the optimal design is then implemented in a manufacturing system for an industrial automation and the results are reported.

The outputs imply the effectiveness of the proposed approach for real industrial cases. This research will combine both simulation-based method and optimization technique to improve the quality of solutions.

In AGV systems, the begin-end combinations are usually connected by using a fixed layout, which is not the optimal path. The capability of these configurations is limited and often the conflict of multiple AGVs and deadlock are inevitable. By appearing more flexible layouts and advanced technology, the positioning and dispatching of AGVs increased. A new concept would be to determine each path dynamically. This would use the free paths for AGVs leading to overcome the conflicts and deadlocks.