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This study aims to understand how integration efforts at both communication and channel levels can foster customer engagement behavior in the retail sector from the perspective of employees.

Data were collected through 231 face-to-face questionnaires completed by frontline employees in shopping centers. A structural equation modeling approach was applied to test the proposed hypotheses.

The results highlight the importance of integration efforts as external stimuli for enhancing employees’ perceptions about customer engagement behavior. Findings extend the stimulus-organism-response model by predicting responses that go beyond employees’ behavior to predict customer engagement behavior. Results also confirm the mediating role of attitudes toward marketing communications and synergy realization in the proposed model.

Retailers should integrate their multiple channels and operate consistently and in coordination through them to develop employees’ perceptions about customer engagement behavior. Managers should regularly collect information from their employees as they represent an important touchpoint in omnichannel retailing.

There is a gap in the omnichannel retailing literature regarding how integration efforts at a communication level may complement integration efforts at a channel level for developing customer engagement. This study addresses this gap by adopting a novel perspective using frontline employees as a source of information for assessing customer engagement behavior. It extends knowledge about how customer engagement behavior may be developed and strengthened from the employees’ point of view.

Este estudio analiza, desde la perspectiva del empleado, cómo la integración de la comunicación y la coordinación de los canales de distribución fomenta el engagement de los clientes en el sector minorista.

Los datos fueron recogidos a través de 231 cuestionarios personales realizados a empleados de centros comerciales. Las hipótesis se contrastaron mediante un modelo de ecuaciones estructurales.

Los resultados destacan la importancia de la integración para fomentar la percepción de los empleados acerca del engagement del cliente. Estos resultados extienden la aplicación del Modelo de Estimulo-Organismo-Respuesta para predecir no sólo el comportamiento de los empleados si no el engagement del cliente. Los resultados también corroboran el rol mediador de la actitud hacia las comunicaciones de marketing y la obtención de sinergias.

Los distribuidores deben integrar todos los canales y actuar de forma coordinada y consistente para mejorar la percepción de los empleados acerca del engagement del cliente. Se debe recabar información periódica sobre las percepciones de los empleados ya que constituyen un importante punto de contacto en la gestión omnicanal de los establecimientos comerciales.

Este estudio aborda un gap existente en la literatura acerca de cómo los esfuerzos de integración a nivel de comunicación complementan los esfuerzos a nivel de canal para fomentar el engagement del cliente. La novedad de este estudio reside en estudiar estos aspectos desde la perspectiva de los empleados.

本研究旨在从员工的角度了解沟通和渠道层面的整合工作如何促进零售部门的顾客参与行为。

数据收集于购物中心一线员工所填写的231份面对面问卷。应用结构方程建模方法来检验所提出的假设。

本文结果强调了整合工作作为外部激励对于提高员工对顾客参与行为的认知的重要性。研究结果通过预测超越员工行为的反应来预测客户参与行为, 从而扩展了刺激-机体-反应模型。结果还证实了对营销传播和协同实现的态度在所提出的模型中的中介作用。

零售商应该整合其多种渠道, 并通过这些渠道持续协调地运作, 以培养员工对顾客参与行为的认知。管理者应该定期从员工那里收集信息, 因为他们是全渠道零售的一个重要接触点。

在全渠道零售业的文献中, 关于沟通层面的整合工作如何补充渠道层面的整合工作以发展顾客参与的问题, 存在研究差距。本研究通过采用新颖的视角, 将一线员工作为评估顾客参与行为的信息来源来解决这一差距。它扩展了关于如何从员工的角度发展和加强顾客参与行为的知识。

Intuitionistic linguistic fuzzy information (ILFI), characterized by linguistic terms and intuitionistic fuzzy sets (IFSs), can easily express the fuzzy information in the process of muticriteria decision making (MCDM) and muticriteria group decision making (MCGDM) problems. The purpose of this paper is to provide an overview of aggregation operators (AOs) and applications of ILFI.

First, some meaningful AOs for ILFI are summarized, and some extended MCDM approaches for intuitionistic uncertain linguistic variables (IULVs), such as extended TOPSIS, extended TODIM, extended VIKOR, are discussed. Then, the authors summarize and analyze the applications about the AOs of IULVs.

IULVs, characterized by linguistic terms and IFSs, can more detailed and comprehensively express the criteria values in the process of MCDM and MCGDM. Therefore, lots of researchers pay more and more attention to the MCDM or MCGDM methods with IULVs.

The authors summarize and analyze the applications about the AOs of IULVs Finally, the authors point out some possible directions for future research.

The purpose of this paper is to explore the impact of human resource (HR) management practices on achieving competitive advantage through studying the mediating role of employee satisfaction in the context of five-star hotels in Northern Cyprus.

To produce numeric data as well as to test the hypothesis, the researchers employed structural equation modeling and AMOS. The testing included (n=439) questionnaires. The model suggested by the authors examined the tourism sector, and in particular, five-star hotels located in Northern Cyprus.

The main research findings revealed that HR practices had a significant effect on competitive advantage. By comparison, the research findings revealed that the mediator variable had no effect on achieving competitive advantage for five-star hotels in Northern Cyprus.

This study demonstrates originality by responding to the recommendations of prior studies conducted on HR in Northern Cyprus Island. This makes a theoretical contribution to the field, since only Turkey recognizes Northern Cyprus, which makes conducting research on this country a challenge for researchers worldwide. Based on this study’s outcomes, this paper discusses its theoretical and practical implications, as well as recommendations for future research.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.

The performance of Wireless Sensor Networks (WSNs) applications is bounded by the limited resources of battery-enabled Sensor Nodes (SNs), which include energy and computational power; the combination of which existing research seldom focuses on. Although bio-inspired algorithms provide a way to control energy usage by finding optimal routing paths, those which converge slower require even more computational power, which altogether degrades the overall lifetime of SNs.

Hence, two novel routing protocols are proposed using the Red-Deer Algorithm (RDA) in a WSN scenario, namely Horizontal PEG-RDA Equal Clustering and Horizontal PEG-RDA Unequal Clustering, to address the limited computational power of SNs. Clustering, data aggregation and multi-hop transmission are also integrated to improve energy usage. Unequal clustering is applied in the second protocol to mitigate the hotspot problem in Horizontal PEG-RDA Equal Clustering.

Comparisons with the well-founded Ant Colony Optimisation (ACO) algorithm reveal that RDA converges faster by 85 and 80% on average when the network size and node density are varied, respectively. Furthermore, 33% fewer packets are lost using the unequal clustering approach which also makes the network resilient to node failures. Improvements in terms of residual energy and overall network lifetime are also observed.

Proposal of a bio-inspired algorithm, namely the RDA to find optimal routing paths in WSN and to enhance convergence rate and execution time against the well-established ACO algorithm. Creation of a novel chain cluster-based routing protocol using RDA, named Horizontal PEG-RDA Equal Clustering. Design of an unequal clustering equivalent of the proposed Horizontal PEG-RDA Equal Clustering protocol to tackle the hotspot problem, which enhances residual energy and overall network lifetime, as well as minimises packet loss.