Search results

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。

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 study aims to explore the overall growth trend, top publishing countries, co-authorship and author keywords in the field of Industry 5.0.

This study presents the outcomes of a bibliometric analysis conducted using VOSviewer software. The analysis retrieved data from the Scopus database, including citations, co-authors, keywords, bibliometric coupling and co-occurrence.

The findings reveal a significant increase in publications and citations related to Industry 5.0 in recent years. China, the USA and India emerge as the leading countries driving research in this field. The co-authorship analysis indicates limited collaboration among authors, with only 48 out of 354 authors being linked through co-authorship. Through co-occurrence analysis, the investigation identifies the most frequently occurring keywords in the research, with “Industry 5.0” and “Industry 4.0” being the most frequently co-occurring keywords. The bibliographic coupling analysis identifies six clusters of research themes.

The study solely relies on data gathered from the Scopus database for analysis on a specific date. Therefore, data from other databases collected at different times may yield different observations and findings.

This study enhances the knowledge of professionals and academia in Industry 5.0, enabling the professionals to efficiently and sustainably manage the sector.

The bibliometric analysis presented in this study provides valuable insights into the contributions made by authors, keywords and co-authors to the field of Industry 5.0. Additionally, the thematic analysis summarized in this study is a novel contribution to the field.

The Cloud of Things (IoT) that refers to the integration of the Cloud Computing (CC) and the Internet of Things (IoT), has dramatically changed the way treatments are done in the ubiquitous computing world. This integration has become imperative because the important amount of data generated by IoT devices needs the CC as a storage and processing infrastructure. Unfortunately, security issues in CoT remain more critical since users and IoT devices continue to share computing as well as networking resources remotely. Moreover, preserving data privacy in such an environment is also a critical concern. Therefore, the CoT is continuously growing up security and privacy issues. This paper focused on security and privacy considerations by analyzing some potential challenges and risks that need to be resolved. To achieve that, the CoT architecture and existing applications have been investigated. Furthermore, a number of security as well as privacy concerns and issues as well as open challenges, are discussed in this work.

The employer brand is a crucial intangible asset for companies as it enhances the employer–employee relationship, leading to improved employee performance and overall company outcomes. This paper aims to investigate the contribution of the employer brand to the financial results of companies in southern Europe.

The sample consists of 266 companies operating in southern European countries during the year 2020. Secondary data on employer brand attributes, assessed from the perspective of current employees, were collected from the Glassdoor platform. Financial indicators were obtained from the companies' annual financial reports. The research hypotheses were tested using regression analysis.

The results of the regression analysis support the notion that the employer brand contributes to profitability indicators and management effectiveness indicators of southern European companies. However, the study did not find evidence supporting the contribution of the employer brand to market indicators and financial structure indicators of the observed companies.

This study is one of the first empirical investigations to assess the role of the employer brand as a human capital tool for enhancing the financial performance of companies in southern Europe. The study examines employer brand attributes from the perspective of current employees, who actively participate in shaping the employer brand and the company's image. In contrast to prior research, this study incorporates a more extensive set of financial indicators, categorized into four groups: profitability indicators, management effectiveness indicators, market indicators and financial structure indicators.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.

The impact of Goods and Service Tax (GST) on the motor and pump exports in the Coimbatore region is measured in this study using various parameters and scales. The data collected from exporters were used to identify the pros and cons of GST, stating their opinions on variables considered by the researchers through extensive literature on GST and exports.

The data were collected from 220 motors and pump exporters through a field survey from the month of January to September 2021. The impacts have been measured using principal component analysis (PCA) and confirmatory factor analysis (CFA). The factor analyses and CFA will derive the positive and negative impact of GST determined through critical empirical evidence in this study. Also, the problems faced by the exporters allied to GST, which the authors could not include in the questionnaire due to certain reasons, are concisely apportioned and discussed.

The study depicts the major advantages of GST, such as harmonized system, long-run performance, reduction in logistics cost, check-post operation, bonds and ease of doing business. Also, it highlights the disadvantages of GST, such as biases in the indirect tax system, the reimbursement of duty drawback being late or pending and document filing was still a tedious job under the GST regime.

The unavailability of considerable literature on the impact of GST on Indian exports signifies the novelty of this research. So far, this is the first empirical attempt to measure the impact of GST on exports which is a unique and original attempt to highlight the problem that lies under the GST regime and the necessary reforms the tax structure needs in the context of Indian exports.

The volumes of international containerized trade substantially increased over the past years. In the meantime, marine container terminal (MCT) operators are facing congestion issues at their terminals because of the increasing number of large-size vessels, the lack of innovative technologies and advanced handling equipment and the inability of proper scheduling of the available resources. This study aims to propose a novel memetic algorithm with a deterministic parameter control to facilitate the berth scheduling at MCTs and minimize the total vessel service cost.

A local search heuristic, which is based on the first-come-first-served policy, is applied at the chromosomes and population initialization stage within the developed memetic algorithm (MA). The deterministic parameter control strategy is implemented for a custom mutation operator, which alters the mutation rate values based on the piecewise function throughout the evolution of the algorithm. Performance of the proposed MA is compared with that of the alternative solution algorithms widely used in the berth scheduling literature, including a MA that does not apply the deterministic parameter control strategy, typical evolutionary algorithm, simulated annealing and variable neighborhood search.

Results demonstrate that the developed MA with a deterministic parameter control can obtain superior berth schedules in terms of the total vessel service cost within a reasonable computational time. Furthermore, greater cost savings are observed for the cases with high demand and low berthing capacity at the terminal. A comprehensive analysis of the convergence patterns indicates that introduction of the custom mutation operator with a deterministic control for the mutation rate value would provide more efficient exploration and exploitation of the search space.

This study does not account for uncertainty in vessel arrivals. Furthermore, potential changes in the vessel handling times owing to terminal disruptions are not captured.

The developed solution algorithm can serve as an efficient planning tool for MCT operators and assist with efficient berth scheduling for both discrete and continuous berthing layout cases.

The majority of studies on berth scheduling rely on the stochastic search algorithms without considering the specific problem properties and applying the guided search heuristics. Unlike canonical evolutionary algorithms, the developed algorithm uses a local search heuristic for the chromosomes and population initialization and adjusts the mutation rate values based on a deterministic parameter control strategy for more efficient exploration and exploitation of the search space.