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This paper aims to examine the research conducted between 1938 and 2023 on applying Gestalt principles in management research, focusing on publishing and citation trends in this field.

A systematic literature review was conducted using PRISMA criteria, forming a three-phase strategy. A total of 394 articles from the Scopus database were reviewed. Bibliometric analysis involving co-citation and co-word analysis was used to explore the intellectual structure of the research area.

Eight application clusters were identified through co-citation analysis using Gestalt as a keyword. Co-word analysis revealed key themes and keywords over the period. Substantial literature exists on topics like organization, strategy, physical servicescape, coaching, learning and human resource management. However, Gestalt principles are minimally applied to online retail, social media, website design, mobile app design and emerging areas like Industry 4.0.

The study suggests that Gestalt principles can enhance marketing, communication, decision-making and leadership, according to the study. Understanding Gestalt concepts and how different industries adapt and apply them helps enable cross-industry learning, where successful strategies from one sector can be creatively implemented in others to solve problems.

This study fills a significant gap in the literature by highlighting the underexplored application of Gestalt principles in emerging business and management sectors. It provides a comprehensive discussion on future research directions and identifies specific areas where Gestalt principles can be innovatively applied, offering fresh insights and expanding the theoretical and practical understanding of their utility in modern business contexts.

This study aims to further the understanding of employees’ engagement by explaining their organizational commitment through their perception of the availability of work-life benefits in the organization. This study also investigates the mediating role of job satisfaction in this context.

The model was tested on the primary data collected in two phases from 270 teaching professionals in higher education institutes in Northern India. Barren and Kenny’s algorithm and hierarchical regression analysis were used to test the hypotheses.

The results reveal that employees’ perception of work-life benefits strongly influences their organizational commitment. Also, the results support that employees’ job satisfaction mediates the above-mentioned relationship.

Self-reported data could be considered as a key limitation of this study and for more accurate results supervisors’ (line managers) perspective could also be included in future studies. Also, in addition to perceived work-life benefits, supervisors’ support could also have an impact on employees’ commitment, thus its inclusion in the model could draw a clearer picture.

This research has two key contributions: first, it adds to the limited literature examining the employees’ engagement issues in the academic sector. Second, this research is one of, if not the first, to investigate perceived work-life benefits among third-level teaching staff in India to explain employees’ commitment to their organizations.

The purpose of this study is to measure the impact of perceived benefits offered by loyalty programmes on store patronage behaviour and repeat purchase behaviour of customers. Another purpose of this study is to assess the impact of mediating and influencing factors on patronage behaviour and customer loyalty.

The convenience sampling method was adopted for the sample selection. Structured questionnaire instruments were distributed to subscribers who are enrolled or subscribed to any loyalty programme and asked them to mark their opinions about subscriptions to a loyalty programme and the benefits or perceived values that customers get from the subscribed loyalty program. To determine respondent responses, closed-end questions and Likert scales were used. A SmartPLS statistical programme was used to analyse the coefficient and p-value of the perceived value of the loyalty programme and its relation with patronage behaviour.

The study finds a significant impact of various loyalty programme determinants on store patronage behaviour, supported by hypothesis testing. Researchers have used variable commitment to the test with satisfaction and trust and found it supportive. Another hypothesis tested for the impact of satisfaction on trust shows a significant relationship. They found a significant relationship between the perceived benefits of a loyalty programme and satisfaction with the store and trust. Another hypothesis tested for the impact of satisfaction on trust shows a similar relationship. The impact of commitment on loyalty behaviour (store patronage) was analysed and found to be significant.

To the best of the authors’ knowledge, to date, this methodology has not been used to measure the influence of loyalty programme values on patronage behaviour in the present context. Based on the understanding that the measurement of the impact of perceived values of loyalty programmes on repeat purchase behaviour could be very useful in providing guidance for decision-making in consumer retention strategy, this paper contributes to the literature on the evaluation of store patronage behaviour with its influencing variables.

This paper aims to address procurement, logistics management, inventory control and distribution of perishable items, i.e. vegetables, fruits, flowers and fishes, during the social isolation period of the Covid-19 era to identify conflicting interests among the channel members; present inventory and information sharing scenario; and reveal organizational dispute and existence of redundant, nonessential and corrupted members in the supply chain.

This study uses an exploratory investigation to evaluate the relations among the members of the supply chain of perishable food items. In this context, it is designed to investigate the field, observe the members of the existing supply chain from rural and remote places and capture their interviews to accomplish the objectives.

This study identified that although the supply chain of perishable food items is controlled truly by private parties, from a realistic view, the private–public partnership is essential where the government should play the coordinating role. In this context, continuous interaction, coordination and information sharing among the members to establish an optimum and scalable network and remove any redundant nodal points is a key success factor for managing an efficient supply chain.

Theoretical and managerial implication of this research is enormous. The existence of functional and dysfunctional conflicts in the same supply network and how it can be detrimental to the performance of the members are exposed in this study, which can be an excellent source to be investigated. Practitioners and researchers can gain a greater understanding to identify the root causes of conflicts in the existing structural dynamics, shedding light on organizational interactions, power and group behavior during the Covid-19 era.

From the light of management and inter-organizational conflicts, this is a pioneer study that has detected the redundant channel members, their source of power and how their removal can present an optimum channel with group coherence and synergistic interest.

The purpose of this study/paper is to propose a mathematical model that is able to predict the future popularity based on the view count of a particular YouTube video. Since the emergence of video-sharing sites from early 2005, YouTube has been pioneering in its performance and holds the largest share of internet traffic. YouTube plays a significant role in popularizing information on social network. For all social media sites, viewership is an important and vital component to measure diffusion on a video-sharing site, which is defined in terms of the number of view counts. In the era of social media marketing, companies demand an efficient system that can predict the popularity of video in advance. Diffusion prediction of video can help marketing firms and brand companies to inflate traffic and help the firms in generating revenue.

In the present work, viewership is studied as an important diffusion-affecting parameter pertaining to YouTube videos. Primarily, a mathematical diffusion model is proposed to predict YouTube video diffusion based on the varying situations of viewership. The proposal segregates the total number of viewers into two classes – neoterics viewers, i.e. viewers those viewing a video on a direct basis, and followers, i.e. viewers those watching under the influence.

The approach is supplemented with numerical illustration done on the real YouTube data set. Results prove that the proposed approach contributes significantly to predict viewership of video. The proposed model brings predicted viewership and its classification highly close to the true value.

Thereby, a behavioral rationale for the modeling and quantification is offered in terms of the two varied and yet connected classes of viewers – “neoterics” and “followers.”

The numerical simulation of practical thermal processes is generally complicated because of multiple transport mechanisms and complex phenomena that commonly arise. In addition, the materials encountered are often not easily characterized and typically involve large property changes over the ranges of interest. The boundary conditions may not be properly defined and or may be unknown. However, it is important to obtain accurate and dependable numerical results from the simulation in order to study, design, and optimize most practical thermal processes of current and future interest. The purpose of this paper is to focus on the main challenges that are encountered in obtaining accurate numerical simulation results on practical thermal processes and systems.

A wide range of thermal systems is considered and the challenges faced in the numerical simulation are outlined. The methods that may be used to meet these challenges are presented in terms of grid, solution strategies, multiscale modeling and combined mechanisms. The models employed must be validated and the accuracy of the simulation results established if the simulation is to form the basis for improving existing systems and developing new ones.

Of particular interest are concerns like verification and validation, imposition of appropriate boundary conditions, and modelling of complex, multimode transport phenomena in multiple scales. Additional effects such as viscous dissipation, surface tension, buoyancy and rarefaction that could arise and complicate the modelling are discussed. Uncertainties that arise in material properties and in boundary conditions are also important in design and optimization. Large variations in the geometry and coupled multiple regions are also discussed.

The paper is largely focused on numerical modeling and simulation. Experimental data are considered mainly for validation and for physical insight.

A wide variety of practical systems, ranging from materials processing to energy, cooling, and transportation is considered.

Future needs in this interesting and challenging area are also outlined in the paper.

Introduction: Lending is an age-old concept, and Peer-to-Peer (P2P) lending is not new. The reduction in the issuing of loans by banks has made people switch from traditional to online mode. The introduction of the online P2P lending industry is in its nascent stage of growth. As this industry is relatively new, understanding user experience, sentiments, and emotions would be helpful for the industry to innovate as per customer requirements.

Purpose: To explore the patterns in the sentiments expressed by users of ‘Cashkumar’ based on Google reviews.

Methodology: Sentiments have been analysed using user experience in risk, cost, ease of use, and loan processing time. Python application was used for sentiment analysis of Google reviews.

Findings: The sentiment analysis results showed that the average sentiment score was 0.7144, which indicates that the user sentiment towards ‘Cashkumar’ is positive. The reviews reflect that the users, especially borrowers were satisfied with the platform’s services and happy with loan processing time. The other factors – ease of use, cost, and risk – were not given much importance by users. Both lenders and borrowers faced a few issues, but the results of the lender’s sentiment analysis could not be generalised due to a smaller number of posted reviews.

Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.

Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.

The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.

The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.

The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

This paper seeks to discuss the numerical modeling of the transport processes that frequently arise in practical thermal systems and involve complexities such as property variations with temperature or with the shear rate in the flow, complicated regions, conjugate mechanisms, chemical reactions and combined mass transfer, and intricate boundary conditions.

The basic approaches that may be adopted in order to study such processes are discussed. Considerations for accurate numerical modeling are also discussed. The link between the process and the resulting product is critical in many systems such as those in manufacturing. The computational difficulties that result from the non‐Newtonian behavior of the fluid or from the strong temperature dependence of viscosity are considered in detail. Similarly, complex geometry, free surface flow, moving boundaries, combined mechanisms, and simulation of appropriate boundary conditions are important in several processes and are discussed.

Some of the important techniques to treat the problems that arise in numerical simulation are presented. Common errors that lead to inaccurate or invalid results are outlined. A few practical processes are considered in greater detail to quantify and illustrate these approaches. Validation of the numerical model is a particularly important aspect and is discussed in terms of existing results, as well as development of experimental arrangements to provide inputs for satisfactory validation.

Practical thermal processes involve a wide variety of complexities. The paper presents some of the important ones and discusses approaches to deal with them. The paper will be of particular value to the numerical simulation of complicated thermal processes in order to design, control or optimize them to achieve desired thermal processing.