Search results

The study examines the effects of organizational compassion during the COVID-19 pandemic on teachers' mental health and, consequently, their commitment and work engagement. The study tests a serial mediation model for the effects of organizational compassion on employee engagement via mental health and the three components of organizational commitment.

A cross-sectional sample (N = 436) completed an online questionnaire towards the end of the prolonged lockdown of schools in Uganda (2021–2022). Serial mediation analysis in PROCESS Macro was employed to test the hypotheses.

As hypothesized, organizational compassion was significantly related to teachers' mental health, the three components of organizational commitment, and employee engagement. A double mediation path of the effects of organizational compassion on employee engagement via mental health and affective commitment was significant.

The findings highlight how organizational compassion benefits employees’ psychological health and work attitudes and behavior. The findings draw attention to the need to design compassion practices that boost the emotional value of organizational compassion to the individual over the economic and normative value.

The study contributes to the literature on organizational compassion outcomes by focusing on employee engagement and the underlying mediating mechanisms. The study is also one of the few that has examined the effects of organizational compassion on the three components of organizational commitment.

The purpose of the paper is to delve into innovation and happiness management linked to the definition of transcendence at work. The paper analyses in the context of innovation and happiness management the relation of the three dimensions taken from Khari and Sinha (2020: Sense of we-ness, self-connectedness and work as a service. The paper also proposed indicators to applied transcendence and moral competencies to the banking sector guiding behaviour toward successful experiences at work as an antecedent of both, transcendence and employees´ performance.

The article starts with a VOSviewer-based bibliometric analysis to examine the recent development of happiness management as an emergent topic of research. A co-word analysis served to identify that the main research theme related to the topic is transcendence at work. The theoretical framework serves for developing a conceptual model that is analysed by taking structural equations modelling (SEM) as the method and partial least squares (PLS) as the technique. To test the hypotheses, the authors employed a sample of 354 employees from the main banks in Spain in 2021 (Santander, Banco Bilbao Vizcaya Argentaria (BBVA), CaixaBank, Bankia and Sabadell).

The results confirm that Innovation and happiness management is related to moral competencies, which refer to the set of knowledge, skills and abilities that facilitate ethical behaviour in the banking sector. Innovation and happiness management include individual attributes for good performance in each job; this research is in line with the prominent call in the literature to consider moral competencies in human resources management.

Originality lies on the answer of the question: what is the role of employee transcendence in the turbulent banking sector today? This paper seeks to approach and measure the relation of innovation, happiness and transcendence at work, Transcendence at work often arises when individuals connect their work to a higher purpose or mission, that connection is based on the idea that any effort to improve any of these three attributes provides successful solutions for the complex banking sector's performance.

The purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.

This study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.

The findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.

Process mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.

This study aims to identify Critical Success Factors (CSFs) for tourism route development and proposes a tailored conceptual model. It addresses a comprehensive range of tourism routes, considering their respective goals and performance.

The authors applied a qualitative approach to investigate five tourism routes, interviewing 31 current and former members and examining secondary data from organisational documents. A conceptual model was developed through content analysis of transcripts and secondary data.

Based on the identified CSFs, the model is organised into six components: Product, Goals, Resources, Governance, Activities and Performance assessment.

The study analyses various tourism routes concerning their products, implementation levels, goals, performance and perceived success.

Most respondents are public authorities from European countries. Besides, consideration should be given to developing quantitative research to validate the derived theory.

The model may facilitate participants in enhancing and developing tourism routes, thereby contributing to achieving sustainable development goals related to rural-urban connections and tourism partnerships.

The development of tourism routes is expected to impact socio-economic development in rural/peripheral areas positively.

本研究旨在确定旅游线路开发的关键成功因素 (CSFs), 并提出量身定制的概念模型。本文提出了一系列旅游线路, 考虑了各自的目标和绩效。

我们采用定性方法探究了五条旅游线路, 采访了 31 名现任和前任成员, 并检查了组织文件中的二手数据。通过对记录和二手数据的内容分析, 开发了一个概念模型。

根据识别的关键成功要素, 该模型分为六个部分：产品、目标、资源、治理、活动和绩效评估。

本研究分析了各种旅游线路的产品、实施水平、目标、绩效和感知成功。

大多数受访者是来自欧洲国家的公共当局。此外, 还应考虑开展定量研究来验证所得出的理论。

该模型可帮助参与者改善和发展旅游路线, 从而有助于实现与城乡联系和旅游伙伴关系相关的可持续发展目标。

旅游路线的发展预计将对农村/边缘地区的社会经济发展产生积极影响。

Esta investigación se centra en diversas tipologías de rutas turísticas, buscando identificar Factores Críticos de Éxito (FCE) y proporcionar un modelo conceptual adaptado.

Aplicamos un enfoque cualitativo para investigar cinco rutas turísticas. Entrevistamos a 31 miembros y examinamos datos secundarios de documentos organizativos. Se desarrolló un modelo conceptual mediante el análisis de contenido de transcripciones y datos secundarios.

Basado en los FCE identificados, el modelo está organizado en seis componentes: Producto, Objetivos, Recursos, Gobernanza, Actividades y Evaluación del desempeño.

El estudio analiza diversas rutas turísticas en relación con sus productos, ubicaciones y nivel de implementación, así como los objetivos, rendimiento y éxitos percibidos de los involucrados.

La mayoría de los encuestados son autoridades públicas de países europeos. Se debe considerar el desarrollo de investigaciones cuantitativas para validar la teoría derivada de este estudio.

El modelo puede potencialmente ayudar a los participantes a mejorar y desarrollar rutas turísticas, contribuyendo así a lograr los objetivos de desarrollo sostenible relacionados con las conexiones rural-urbanas y las asociaciones turísticas.

Se espera que el desarrollo de rutas turísticas tenga un impacto positivo en el desarrollo socioeconómico en áreas rurales/periféricas.

This article investigates different terms and concepts of paradox dimensions in Public Administration because these terms are often used interchangeably. The aim is to reveal the theoretically based macro-level concepts and establish a common ground for a shared dialogue about managing paradoxes in the field.

This article uses a complementary review approach. First, a systematic literature review is executed to identify the macro-level paradox concepts and to capture their theoretical common ground. Second, the problematizing literature review aims to reflect Public Administration literature with literature from outside the field, mainly from Organization Studies and General Management.

For the most part, the macro-level paradox concepts in Public Administration are used to illustrate the context or situation of another research topic, rather than as standalone theories to be conceptually or empirically explored. In 63 out of 589 articles, we found a theoretical definition of the mentioned macro-level paradox concept. This definition refers mainly to the sources of paradoxical situations and focuses less on the decisions and reactions thereto. Based on the review findings, an analytical model for the management of paradoxical situations in the public sector is provided and applied, followed by recommendations for further research.

This article aims to combine the macro-level paradox concepts in Public Administration with the insights of Paradox Theory and reveals that paradoxes could be a core topic in the field. Scholars in Public Administration could approach paradoxical situations from their own perspective while simultaneously strengthening the field’s identity by encouraging multiperspectivity.

Short food supply chains have the potential to facilitate the transition to more sustainable food systems. Related distribution processes, however, can be challenging for smallholder and family farmers. To extend the market reach of farmers without the need for extensive investments, crowd logistics (CL) can be used. The purpose of this paper is to explore the benefits and trade-offs of implementing CL platforms in short food supply chains (SFSCs).

A decision support system (DSS) based on agent-based and discrete event simulation (DES) modelling is developed, which closely approximates the behaviour of customers and distribution processes at outlets. Different scenarios are explored to evaluate the potential of CL in rural and urban settings using the example of regions from Bavaria, Germany.

Results show that CL can be used to increase the reach of farmers in SFSCs at the cost of minor food quality losses. Moreover, a difference between urban and rural settings is noted: An urban scenario requires less investment in the driver base, whereas the rural scenario shows a higher potential to increase market reach.

Platform-based food delivery services are still mostly unexplored in the context of SFSCs. This research shows that platform services such as CL can be used to support local agriculture and facilitate the distribution of perishable food items, introducing a simulation-based DSS and providing detailed results on various application settings; this research serves as a steppingstone to facilitate successful real-world implementations and encourage further research.

This paper aims to critically examine traditional approaches to paradoxes and propose a new approach and perspective that views “chiasmic” organizing as a intertwining combination of structure and processes that facilitate the handling of multiple interrelations for processing paradoxes and harness their creative potential in organizations.

Employing a cross-disciplinary approach, a literature review and a critical lens, along with conceptual work (typology), are used to identify problems and deficiencies in existing research on paradoxes. Specifically, it draws on Merleau-Ponty's process-oriented phenomenology and post-Cartesian ontology to gain a comprehensive understanding of post-dualistic forms of chiasmic organizing and its relationship with paradoxical phenomena.

The process-oriented phenomenology and post-Cartesian ontology used in this article offer valuable insights and a critical approach to comprehend post-dualistic forms of chiasmic organizing in relation to paradoxes. This understanding can help in tapping into the energizing and creative potential of paradoxes. The paper also highlights the significance of the “in(ter)-between” as a reversible principle in chiasmic organizing and proposes some implications.

Limitations and implications of this study are identified and discussed.

The paper offers practical implications for organizations in processing paradoxes.

This paper contributes to the existing literature by providing a conceptual critique and proposing a novel understanding of chiasmic organizing as an intertwining structure and mediating processes by employing a process-oriented phenomenology and post-Cartesian ontology. It also offers innovative ways to approach paradoxes and tap into their creative potentials, which can bring about change in organizations.

This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.

This study aims to develop and validate the scales on the dark side of internal communication (IC) that capture a more nuanced perception of ineffectiveness, manipulation and miscommunication from the employee perspective. This study also examines this scale's effects on employee outcomes (such as employee loyalty and quiet quitting).

The authors developed the dark side of the IC scale through qualitative interviews and a review of relevant literature. Statistical techniques such as exploratory and confirmatory factor analysis, convergent validity and nomological validity were performed on the newly produced scales. The authors also examined the predictive validity effects of these scales on employee loyalty and quiet quitting using participants from Hungary.

The scale development resulted in a 15-item measuring three dimensions of the dark side of IC. After several statistical examinations, the scale exhibited robust psychometric properties and is reliable and valid.

This study empirically supported the new phenomenon of studying the dark side of IC, and the scale can be used to measure employee outcomes, the effectiveness of organizational communication, etc.

The purpose of this study is to evaluate the effectiveness of nanocontainer solutions in removing deteriorated and aged polymers commonly used in coating and consolidating archaeological glass.

This study focused on characterizing glass surfaces coated with two commonly used polymeric materials in archaeological glass preservation. Furthermore, the study evaluates the elimination of these coatings from the surfaces by using innovative aqueous systems composed of micellar solutions (MS) and oil-in-water (O/W) Texapon-P microemulsions (TEX). Glass samples coated with selected polymers were subjected to thermal and photochemical aging to simulate natural degradation conditions. This study aimed to evaluate the effectiveness of nanocontainer aqueous systems compared to acetone (Ac), a conventional solvent commonly used for removal procedures. The characterization procedures involved transmission electron microscopy, USB digital microscopy, scanning electron microscopy, color alteration and gravimetric measurement.

The findings indicate that the effectiveness of novel techniques using aqueous nanocontainer systems is quite promising when considering a “green approach” to preserving cultural heritage. Microscopic examination demonstrated the efficacy of MS in effectively removing acrylic and vinyl polymers from the glass surface. Furthermore, TEX proved effective in removing polyvinyl acetate (PVA) over Paraloid B72 (B-72). In addition, the measurement of color alteration values revealed a decrease after using MS compared to the standard sample before applying the polymers, with values of ΔE = 1.48 and 1.82 for B-72 polymer and PVA, respectively.

This research provides nanocontainer solutions for removing aged polymers from the glass surface. This makes the current study a promising step for treating archaeological glass.